R is a free, open-source environment for statistical analysis and graphing. In its almost 20 years of existence, R has remained popular in both academic and business environments. The newer Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. This session outlines functional and performance differences between these two software packages. You’ll see demonstrations of best tips for integrating this software with Windows and walk away with guidelines for working with commercial software. A version of this presentation had 100 attendees at the PASS Business Analytics Conference in Chicago (April 2013), and 40 attendees for the PASS Virtual Business Analytics meeting (May 2013).
It is one of the Best Presentation on the topic "R Programming" having interesting Slides consisting of Amazing Images & Very Useful Information. It also have Transitions & Animation which makes the Presentation more Interesting & Attractive.
Created By - Abhishek Pratap Singh (Aps)
R is a free, open-source environment for statistical analysis and graphing. In its almost 20 years of existence, R has remained popular in both academic and business environments. The newer Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. This session outlines functional and performance differences between these two software packages. You’ll see demonstrations of best tips for integrating this software with Windows and walk away with guidelines for working with commercial software. A version of this presentation had 100 attendees at the PASS Business Analytics Conference in Chicago (April 2013), and 40 attendees for the PASS Virtual Business Analytics meeting (May 2013).
It is one of the Best Presentation on the topic "R Programming" having interesting Slides consisting of Amazing Images & Very Useful Information. It also have Transitions & Animation which makes the Presentation more Interesting & Attractive.
Created By - Abhishek Pratap Singh (Aps)
A presentation on the history, design, and use of R. The talk will focus on companies that use and support R, use cases, where it is going, competitors, advantages and disadvantages, and resources to learn more about R. Speaker Bio
Joseph Kambourakis has been the Lead Data Science Instructor at EMC for over two years. He has taught in eight countries and been interviewed by Japanese and Saudi Arabian media about his expertise in Data Science. He holds a Bachelors in Electrical and Computer Engineering from Worcester Polytechnic Institute and an MBA from Bentley University with a concentration in Business Analytics.
The R language is a project designed to create a free, open source language which can be used as a replacement for the S-PLUS language, originally developed as the S language at AT&T Bell Labs, and currently marketed by Insightful Corporation of Seattle, Washington. R is an open source implementation of S, and differs from S-plus largely in its command-line only format.
Topics Covered:
1.Introduction to R
2.Installing R
3.Why Learn R
4.The R Console
5.Basic Arithmetic and Objects
6.Program Example
7.Programming with Big Data in R
8.Big Data Strategies in R
9.Applications of R Programming
10.Companies Using R
11.What R is not so good at
12.Conclusion
Querying GrAF data in linguistic analysisPeter Bouda
The “Graph Annotation Framework” (GrAF) defines an API and an XML format to store and query linguistic annotations as annotation graphs. The format was standardized as ISO 24612 in 20121, and was explicitly developed as an underlying data model for linguistic annotations in a radical stand-off approach2 ([Ide and Suderman 2007]). The basic data structures are annotation graphs as proposed in [Bird and Liberman 2001], and are general and expressive enough to encode all known varieties of annotation in linguistics and other “annotation-based” disciplines. Although GrAF is not a TEI-compatible format, both standards share a certain technological foundation and grew in a similar ecosystem, but with slightly different applications in mind. In our talk we will show the connections between TEI and GrAF, propose an option to convert between the „two worlds“, and demonstrate a query system for GrAF data that we already use in typological analysis of annotated data from language documentation projects.
Source-to-source transformations: Supporting tools and infrastructurekaveirious
Introduction to source-to-source transformation. Concept and overview. Basics of existing tools (TXL, ROSE, Cetus, EDG, C-to-C, Memphis); pros and cons. Part of an internal evaluation for selecting a source-to-source transformation tool.
This short text will get you up to speed in no time on creating visualizations using R's ggplot2 package. It was developed as part of a training to those who had no prior experience in R and had limited knowledge on general programming concepts. It's a must have initial guide for those exploring the field of Data Science
Language documentation projects all over the world have accumulated a large and heterogeneous corpus of linguistic material. Because of its diversity, access to and analysis of the components is difficult, particularly for multimedia instances. The "Graph Annotation Framework" (GrAF), a standoff annotation method, is applied to utterance examples in time-aligned annotations of video samples. An easy-to-use programming interface defined in the Poio API, a project within the CLARIN framwork ("Common Language Resources and Technology Infrastructure"), then greatly simplifies access without the need to deal with multiple input formats in the source material. GrAF-XML provides a basis for exchanging results among the various projects that analyze the corpus.
Poio API: a CLARIN-D curation project for language documentation and language...Peter Bouda
Poio API is an open source software library written in Python and is being developed as part of a curation project within the working group “Linguistic Fieldwork, Anthropology, Language Typology” of CLARIN-D . The goal of Poio API is to provide unified access to pivot data structures parsed from different file formats that researchers use in language documentation projects. As unified data structures we chose an implementation of the “Graph Annotation Framework” (GrAF) that was standardized as ISO 24612 in 2012. In our presentation, we will discuss the connections between GrAF and TEI, and present two use cases that demonstrate the innovation and advantage of our approach in comparison to existing methods.
Basic introduction to "R", a free and open source statistical programming language designed to help users analyze data sets by creating scripts to increase automation. The program can also be used as a free substitute for Microsoft Excel.
Ryan Curtin, Principal Research Scientist, Symantec at MLconf ATL 2016MLconf
mlpack: Or, How I Learned To Stop Worrying and Love C++: mlpack is a cutting-edge C++ machine learning library containing fast implementations of both standard machine learning algorithms and recently-published algorithms. In this talk, I will introduce mlpack, its design philosophy, and discuss how C++ is helpful for making implementations fast, as well as the pros and cons of C++ as a language choice. I will briefly review the capabilities of mlpack, then focus on mlpack’s flexibility by demonstrating the k-means clustering code (and maybe some other algorithms too, like nearest neighbor search), and how it might be used in a production environment. The project website can be found at http://www.mlpack.org/.
A presentation on the history, design, and use of R. The talk will focus on companies that use and support R, use cases, where it is going, competitors, advantages and disadvantages, and resources to learn more about R. Speaker Bio
Joseph Kambourakis has been the Lead Data Science Instructor at EMC for over two years. He has taught in eight countries and been interviewed by Japanese and Saudi Arabian media about his expertise in Data Science. He holds a Bachelors in Electrical and Computer Engineering from Worcester Polytechnic Institute and an MBA from Bentley University with a concentration in Business Analytics.
The R language is a project designed to create a free, open source language which can be used as a replacement for the S-PLUS language, originally developed as the S language at AT&T Bell Labs, and currently marketed by Insightful Corporation of Seattle, Washington. R is an open source implementation of S, and differs from S-plus largely in its command-line only format.
Topics Covered:
1.Introduction to R
2.Installing R
3.Why Learn R
4.The R Console
5.Basic Arithmetic and Objects
6.Program Example
7.Programming with Big Data in R
8.Big Data Strategies in R
9.Applications of R Programming
10.Companies Using R
11.What R is not so good at
12.Conclusion
Querying GrAF data in linguistic analysisPeter Bouda
The “Graph Annotation Framework” (GrAF) defines an API and an XML format to store and query linguistic annotations as annotation graphs. The format was standardized as ISO 24612 in 20121, and was explicitly developed as an underlying data model for linguistic annotations in a radical stand-off approach2 ([Ide and Suderman 2007]). The basic data structures are annotation graphs as proposed in [Bird and Liberman 2001], and are general and expressive enough to encode all known varieties of annotation in linguistics and other “annotation-based” disciplines. Although GrAF is not a TEI-compatible format, both standards share a certain technological foundation and grew in a similar ecosystem, but with slightly different applications in mind. In our talk we will show the connections between TEI and GrAF, propose an option to convert between the „two worlds“, and demonstrate a query system for GrAF data that we already use in typological analysis of annotated data from language documentation projects.
Source-to-source transformations: Supporting tools and infrastructurekaveirious
Introduction to source-to-source transformation. Concept and overview. Basics of existing tools (TXL, ROSE, Cetus, EDG, C-to-C, Memphis); pros and cons. Part of an internal evaluation for selecting a source-to-source transformation tool.
This short text will get you up to speed in no time on creating visualizations using R's ggplot2 package. It was developed as part of a training to those who had no prior experience in R and had limited knowledge on general programming concepts. It's a must have initial guide for those exploring the field of Data Science
Language documentation projects all over the world have accumulated a large and heterogeneous corpus of linguistic material. Because of its diversity, access to and analysis of the components is difficult, particularly for multimedia instances. The "Graph Annotation Framework" (GrAF), a standoff annotation method, is applied to utterance examples in time-aligned annotations of video samples. An easy-to-use programming interface defined in the Poio API, a project within the CLARIN framwork ("Common Language Resources and Technology Infrastructure"), then greatly simplifies access without the need to deal with multiple input formats in the source material. GrAF-XML provides a basis for exchanging results among the various projects that analyze the corpus.
Poio API: a CLARIN-D curation project for language documentation and language...Peter Bouda
Poio API is an open source software library written in Python and is being developed as part of a curation project within the working group “Linguistic Fieldwork, Anthropology, Language Typology” of CLARIN-D . The goal of Poio API is to provide unified access to pivot data structures parsed from different file formats that researchers use in language documentation projects. As unified data structures we chose an implementation of the “Graph Annotation Framework” (GrAF) that was standardized as ISO 24612 in 2012. In our presentation, we will discuss the connections between GrAF and TEI, and present two use cases that demonstrate the innovation and advantage of our approach in comparison to existing methods.
Basic introduction to "R", a free and open source statistical programming language designed to help users analyze data sets by creating scripts to increase automation. The program can also be used as a free substitute for Microsoft Excel.
Ryan Curtin, Principal Research Scientist, Symantec at MLconf ATL 2016MLconf
mlpack: Or, How I Learned To Stop Worrying and Love C++: mlpack is a cutting-edge C++ machine learning library containing fast implementations of both standard machine learning algorithms and recently-published algorithms. In this talk, I will introduce mlpack, its design philosophy, and discuss how C++ is helpful for making implementations fast, as well as the pros and cons of C++ as a language choice. I will briefly review the capabilities of mlpack, then focus on mlpack’s flexibility by demonstrating the k-means clustering code (and maybe some other algorithms too, like nearest neighbor search), and how it might be used in a production environment. The project website can be found at http://www.mlpack.org/.
Building and deploying LLM applications with Apache AirflowKaxil Naik
Behind the growing interest in Generate AI and LLM-based enterprise applications lies an expanded set of requirements for data integrations and ML orchestration. Enterprises want to use proprietary data to power LLM-based applications that create new business value, but they face challenges in moving beyond experimentation. The pipelines that power these models need to run reliably at scale, bringing together data from many sources and reacting continuously to changing conditions.
This talk focuses on the design patterns for using Apache Airflow to support LLM applications created using private enterprise data. We’ll go through a real-world example of what this looks like, as well as a proposal to improve Airflow and to add additional Airflow Providers to make it easier to interact with LLMs such as the ones from OpenAI (such as GPT4) and the ones on HuggingFace, while working with both structured and unstructured data.
In short, this shows how these Airflow patterns enable reliable, traceable, and scalable LLM applications within the enterprise.
https://airflowsummit.org/sessions/2023/keynote-llm/
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Essentials of Automations: Optimizing FME Workflows with Parameters
Resume
1. SRINIVAS MUDDANA
3800 sw 34th street, Apt B 10, Gainesville – 32608. FL. Cell: (850) 225-2068.
Email: srinivas.muddana@gmail.com. Github ID: muddana.
Objective
Looking for full-time employment to work in a software engineering position with challenging work and
competitive environment.
Education
Master of Science in Computer Engineering Dec 2009
University of Florida, Gainesville, FL. GPA 3.51/4.0
Bachelor of Engineering in Mechanical Engineering May 2005
National Institute of Technology, Tiruchirappalli, India. GPA: 7.42/10.0
Courses During Masters: Programming Language Principles, Programming Language Translators,
Analysis of Algorithms, Computational Geometry, Advanced Network Optimization, Distributed Systems,
Computer Networks, Advanced Data Structures, Neural Networks, Database Management Systems.
Skill Set
Programming Languages C++, Ruby, C, Javascript, C#, Java
Framework/Technologies Ruby on Rails, .NET, Subversion, Git, Matlab , Ajax, Prototype, XML
Operating Systems GNU/Linux, Microsoft Windows
Databases Postgres, MySQL
Projects
• Compiler for Tiny, a Subset of C/Pascal languages (C, Fall 09)
Implementing a compiler for Tiny, a C/Pascal like language. The main tasks in the project were building
the grammar, constrainer to check types and semantic restrictions, Code-generation to generate code for the
virtual machine to run. Main features of Tiny are: for, repeat, while loops. If, switch statements. swap
statement, enumeration types, constant type and functions.
Keywods: C , Compiler Implementation, Lex, Yacc, Procedural Language
• A Compiler for RPAL- A Functional Programming Language (C++ Summer 09)
Implemented a compiler for RPAL, a functional programming language. Implemented a lexer, recursive
descent parser by hand for the RPAL LL(1) Grammar. The Abstract Syntax Tree(AST) is standardized in
terms of lambdas and gammas, this standardized tree is converted to control structures and executed with a
stack and tree environment.
Keywords : C++, LL(1) Grammar, Recursive Descent Parser, Runtime for Functional Language.
• A Multiplayer Game With Central Server and Clients over RPC's (C++ Fall 2008)
Developed a simple multi-player game. A threaded central server carries out the calculations for movement
of balls, one controlled by each client and the clients communicate with central server for directing the
balls using remote procedure calls. The server simulates the movement of the balls according to the request
of clients and reports collisions.
Keywords: C++, Sun RPC, Pthreads, Network Programming
• Multi-Layer Perceptron and Self Organizing Maps (Matlab, Spring 2008)
Implemented Multi-Layer Perceptron and Self Organizing Maps in Matlab.Conducted experiments on data
from MNIST database to understand the supervised learning techniques(Multi Layer Perceptron) and
unsupervised learning(Self Organizing Maps).
2. Keywords: Matlab, Neural Networks, Self Organizing Maps
• Survey on Shortest Paths in an Arrangement of Lines (Fall 2008)
The survey studies problem of shortest paths in line arrangements. This problem has an obvious O(n2 )
algorithm. But its been an open problem to find the shortest path in the arrangement of lines in sub
quadratic time. It surveys the different algorithms for solving this generic problem and for different special
arrangement of lines like the pencil arrangement, vertical and horizontal line arrangement.
Keywords: Computational Geometry, Shortest Paths
• Convex Hull of a Point Set (C++ Fall 2008)
Implemented Chan's algorithm, Graham's scan algorithms for finding convex hull of a point set.
Keywords: C++, CGAL, Convex Hulls
• A Simple Peer to Peer System (C++ Fall 2007)
Implemented a P2P file sharing system. Implemented the unstructured Gnutella model. The nodes can
connect to a fixed number of peer nodes and can request for files from their peers.
Keywords: C++, Pthreads, Network Programming
• A Telephonic Interface for Gainesville RTS Bus Locator Service (Ruby, http://dial-
rts.heroku.com/)
Developed an application for getting the status of buses in Gainesville via a phone call. This application
provides the real time position of buses especially useful on non-smart mobile phones. Application uses
Twilio telephony service for handling the phone calls.
Keywords # Ruby on Rails, Sinatra, Twilio service integration, XML, Git
• Line Following Robot (Spring – Fall 2005)
Developed a line following robot based on light sensors (photo diodes), comparator and stepper motors for
direction control.
Professional Experience
Florida Museum of Natural History. Gainesville, Florida Student Assistant Sept 2007 - Dec 2009
Working on Tolkin(Tree of Life Knowledge and Information Network) project, a web application which
helps researchers manage and analyze their biological data. Have been working on its various components
of the website like bibliography manager, citation parser and creating a version control system for the data
stored in a database, storing images, login system, feedback system, tagging.
• Designed the new schema for Tolkin.
• Developed a work flow for submitting feedback in Tolkin.
• Was responsible for solving issues in production, add new features in development.
Keywords # Ruby on Rails, Postgres, Mongrel, ReCaptcha, Prototype, Migrations,
Retrospectiva, DelayedJob, Tagging, Subversion, Ajax, XML
Cognizant Technology Solutions. Chennai, India Programmer Analyst Jun 2005 – Jul 2007
Worked in design and development of C#.NET, ASP.NET applications.
• Worked on the text parsing component in the West Brief Plugin
(http://west.thomson.com/software/brieftools/) using .Net web services for fetching data from a
remote server and updating the documents(briefs).
• Developed a library for generating excel charts in C#.NET which was consumed in a Financial
Report Generation System. Have also worked on the building the website, which includes modules
like chart generation, data export in the form of reports creating from the financial data in the
application.
