Hitesh Laware has an MS in Computer Engineering from Boston University and a Bachelor's in Instrumentation from Mumbai University. He has work experience as an intern at Monster Worldwide and Siemens developing apps and programming PLCs. His projects include developing a Java plugin for automated release notes, creating a smart car that collects sensor data and a video conferencing Android app. He has skills in languages like Java, C#, Python and frameworks like HTML, CSS, JavaScript.
Experienced Data Warehouse Engineer with a demonstrated history of working in the information technology and services industry. Skilled in Business Analytics, Python (Programming Language), DataStage, Data Science, and Autosys. Strong information technology professional with a Indira Gandhi Institute Of Technology focused in Bachelor Of Technology In Electronics & Communication Engineering from Biju Patnaik University of Technology, Odisha.
CV Omar Hicham, seeking a PhD in distributed algorithms and systems or a challenging opportunity in software engineering of distributed and large scale systems and big data.
Experienced Data Warehouse Engineer with a demonstrated history of working in the information technology and services industry. Skilled in Business Analytics, Python (Programming Language), DataStage, Data Science, and Autosys. Strong information technology professional with a Indira Gandhi Institute Of Technology focused in Bachelor Of Technology In Electronics & Communication Engineering from Biju Patnaik University of Technology, Odisha.
CV Omar Hicham, seeking a PhD in distributed algorithms and systems or a challenging opportunity in software engineering of distributed and large scale systems and big data.
Actively looking for full time position as a Software Engineering role. I have experience with Java, Javascript, HTML/CSS, REST web services, AWS cloud and mobile application development.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
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We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
1. LinkedIn hnlaware@bu.edu
Github Hitesh Laware 8572944826
EDUCATION
MS, Computer Engineering GPA-3.73
Boston University (2015-17)
Bachelor of Engineering, Instrumentation GPA-3.5
Mumbai University (2011-15)
MAJOR COURSES
Advance Data Structures & Algorithms, Cloud Computing, Web Development, Internet of Things, Android Software
Development, Microprocessors & Microcontrollers, Computer Programming (Java & C++), Embedded System in
Instrumentation.
PROJECTS
Automated Release Notes (https://github.com/BU-NU-CLOUD-SP16/Automated-Release-Notes - video) (Jan - May 2016)
Worked for a Maine based Software company to develop a Java plug-in as a product for that company.
The Java plug-in was integrated with Jet brains continuous integration tool and Visual Studio to generate and
email release notes to user with build and commit details.
This is an 'Open Source' project mentored by engineers from Mingle Analytics.
Smart Car (https://github.com/estherlu/EC544_Group4) (Aug-Dec 2015)
Collected variety of physical data and represented them on a PC using a server.
Calibrated various sensors and integrated them with Arduino and Raspberry pi 2.
Created a website that controlled car, displayed its current location and gave live stream using webcam and pi.
Processed the collected data and took real time corrective actions through the crawler accordingly.
Jitsi Android App (Aug -Dec 2015)
Studied Android App development and created an App for Video Conferencing.
Created BU-Service that used WebRTC to make video bridge and MySQL to store user data.
AWS was used to host video bridge(ec2), database(s3) and implement elastic IP.
High Precision Localization of Smart Cars (2015-16)
Developed a localization system which creates a 3D environment around each vehicle, integrates the process data
with existing maps.
Aids in vehicular communication with real time data processing for Smart and Autonomous cars in a Smart City.
Object Identification and Sorting using PLC (2014-15)
Studied various Industrial sensors used to identify different types of objects.
Developed a PLC application to sort objects as per user choice.
WORK EXPERIENCE
Intern, Monster Worldwide (May – Aug 2016)
Worked as Software Engineer intern and developed an App for Tracking Job Ad Transactions by using Restful
Api. Project involved using Http Client class to make get, post, patch and put request that modifies Db.
Developed another App that extracts Jobs from Monster Aws instances and uses Aws CloudWatch package to
extract its data points and processes them. These data points were later fetched to a metrics in CloudWatch for
better auto-scaling in Aws.
Intern, Siemens (Jun – Sept 2014)
Learnt programming in PLC and assisted in an ongoing project on Automation.
Learnt programming for embedded systems in C.
Implemented techniques of interfacing microcontroller with PLC and also studied its various Industrial
applications.
SKILLS
Programming Languages Java, C#, python, C++, SQL
Web Development & Frameworks HTML, CSS, JavaScript, jQuery, node.js
Tools & Technologies .NET, MySQL, REST APIs, JSON, Eclipse, Visual Studio, Android Studio
ACCOMPLISHMENTS
Taught an Internet of Things course in Boston University under Prof Thomas Little.
Awarded the best RnD project of the year by University of Mumbai.
Chairperson of IEEE-Vesit.
