Prashant Kumar is a software engineer with experience developing applications using Java, Python, JavaScript, and various databases and cloud technologies. He has a Master's degree in Computer Science from Iowa State University and a Bachelor's degree in Information Technology from GGSIP University in India. His experience includes developing consumer analytics pipelines at PlaceIQ and working on the Google Developers site and iGoogle as a consultant at Google India. He has also conducted research and worked on academic projects involving machine learning, cloud computing, and mobile application development.
Self-motivated Master’s Graduate in Computer Science with 2+ years of work experience as a Software Developer with broad programming and object oriented analysis & design experience in UNIX, Windows operating environments Full life cycle experience, involved in requirement analysis, design, development, testing, deployment and support. Experience in API development, Web development & Mobile Development.
Self-motivated Master’s Graduate in Computer Science with 2+ years of work experience as a Software Developer with broad programming and object oriented analysis & design experience in UNIX, Windows operating environments Full life cycle experience, involved in requirement analysis, design, development, testing, deployment and support. Experience in API development, Web development & Mobile Development.
Masters of Computer Science Candidate with around 3 years of work experience in Java EE, Spring MVC, Hibernate, JavaScript, JQuery, Back End Software Development. Looking for an opportunity as a Full Stack Developer
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
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Accelerate your Kubernetes clusters with Varnish Caching
Resume prashant
1. Prashant Kumar
Mobile: (515) 708-5955 Email: prashantnov87@gmail.com
Address: 10 Manhattan Ave. New York, NY 10025 LinkedIn: linkedin.com/in/prashant4nov
EDUCATION
Iowa State University, Ames, Iowa Aug. 2014 - Dec 2016
Master of Science in Computer Science GPA: 3.59/4.0
Relevant Coursework: Algorithm, Database Systems, Advanced Topics in Database, Theory of Computation, Operating
System and Network Security
GGSIP University, New Delhi, India Aug. 2006 - May 2010
Bachelor of Technology in Information Technology CGPA: 8.08/10
TECHNICAL SKILLS
Programming: Java, Python, JavaScript, jQuery, HTML5/CSS3, XML, Neo4j Cypher, SQL, Apache Pig
Tools/Technologies: Google Cloud, Google APIs, GWT, RESTful web services, Django, Backbone.js, Hadoop
MapReduce, Azkaban, JSP, JUnit, PyUnit, Git, AWS, Docker, Apache Tomcat, MySQL, AppEngine NoSQL, Neo4j
EXPERIENCE
Software Engineer, PlaceIQ, New York, NY Oct 2016 - Present
Consumer Location Analytics: Java, JUnit, Python, Apache Hadoop, Pig, Avro, Azkaban, JIRA
Residential data filtering: Implemented data pipeline to cleanse and structure consumer raw data using internal
device graph to retrieve consumers with residential information and help marketers understand consumer journey
Location Intelligence: Implemented pipeline to update schema of consumer movement data to avro format
Research & Teaching Assistant, Computational Media Lab, ISU, Ames Aug 2015 - Sept 2016
Graph data modeling for political communication on Twitter: Python, Neo4j, Twitter Search API, App Engine
Designed and developed tool for communication scholars to study political communication on Twitter among US
presidential candidates, state reporters, house representatives, senates and senators
Software Engineer (Consultant), Google India via Kelly IT May 2010 - May 2014
Google Developers site: Python, PyUnit, Django, JQuery, JsUnit, JSON, Backbone.js, App Engine, MySQL
Developer Relations Dashboard: Developed Dashboard for Google Developers Managers to track activity of
Google products such as Android, Chrome with external community on Google+, Twitter, GitHub, YouTube &
Stack Overflow. Integrated Dashboard with Google Developers site with 100% unit & integration test cases.
Mentored new joiners to work on Dashboard
iGoogle site: Java, JSP, Servlet, JUnit, jQuery, GWT, HTML, XML, JSON, OAuth, App Engine
YouTube Gadget: Developed YouTube gadget latest version (having over 10 million users) for users to view, play,
search videos, check history of played videos and check recommended videos on iGoogle homepage
Flood-it! Gadget: Optimized Flood-it! Gadget code to reduce loading time of the gadget on iGoogle
Live Preview Support: Implemented live preview support in iGoogle for YouTube, To-Do and twmap gadget
INTERNSHIPS
Software Developer Intern, Pearson Education, Iowa City, Iowa June 2015 - Aug. 2015
StatsAgg Monitoring Tool: Java, Servlet, JUnit, Mockito, Tomcat, MySQL, Docker, AWS EC2 Container Service
Implemented API layer for metric aggregation and alerting platform used at Pearson to send email alerts in case of
any abnormality on online test applications and deployed StatsAgg docker container on AWS
Research Intern, UAS, Technikum-Wien, Austria June 2009 - July 2009
Healthy Interoperability: Java, XML, HTML, CSS
Developed module using Java and XML for conversion of IEEE 11073 data into HL7 Clinical Document
Architecture format according to PHMR implementation guide
ACADEMIC PROJECTS
Pairwise Document Similarity: Java, Hadoop MapReduce
Developed application to compute pairwise similarity on large document collections using Hadoop MapReduce
Secure Aging at Home: Java, Android, Google Cloud Messaging
Developed android application to receive alerts by elderly in case of any security threat at home
Automatic Detection of Diabetes: Java
Developed application to determine if Artificial Neural Networks can be used for diabetes diagnosis. Neural
Network trained with 200 sample data had specificity of 82.14% and sensitivity of 88.8%
