Georgia Institute of Technology

- GTA for the course CS 4641/7641: Machine Learning
- Conducted office hours every work mentoring students through programming assignments and their own research projects typically making use of multiple ML libraries such as Scikit-Learn, Numpy, Pandas etc.
- Currently working on Automation of various scripts in Python to improve the autograder, GradeScope APIs etc.

Graduate Teaching Assistant

Redesign of the course CS 3300: Introduction to Software Engineering at Georgia Tech exploring the role of AI tools used in Software Development
- Compared and contrasted various AI tools for design such as Eraser.io, LucidChart, GPT-4o's ability to generate PlantUML/Mermaid syntax for architecture diagrams (design phase)
- Compared and contrasted AI tools such as Codeium, GitHub Copilot, GPT-4o APIs via Continue for code completion, both from start-to-end as well as "fill-in-the-middle" tasks for the code completion (implementation phase)
- Finally compared the same tools for unit tests as well as functional/integration tests (testing phase)

Graduate Research Assistant

- GTA for the course CS 6035: Introduction to Information Security, consisting of 300+ students
- Tested assignments on Networking, Web, Binary Exploitation and Introductory Forensics
- Conducted Office Hours twice a week helping students on projects, quizzes and tests

Mad Street Den

- Involved in the initial prototyping and delivery of the Intelligent Document Processing (IDP) pipeline to extract information from scanned PDFs such as insurance claim forms, bank statements etc. 
- Worked on improving the A/B testing pipeline of a relevant question recommender system for an EdTech company, and came up with a sampling strategy to detect anomalies as a result of customer feedback on the recommendation results.

Machine Learning Engineer

ServiceNow

- Delivered key flows in Multi Parts Transfer to enable a field agent to request and receive multiple parts from peer agents or warehouses. Also added push notifications to ensure that the peer agent gets notified of any part(s) requested from them and new capabilities to edit the exact assets to be transferred.
-  Rebuilt Planned Maintenance as well as Performance and Analytics Dashboards, which are tracking KPIs for Field Agents thereby migrating the user experience to Workspace using ServiceNow's latest UI Builder and Dashboard Builder tools.
- Brought the order summary PDF previews as well as customer collaboration (via comments on tasks) into the mobile app, for Field Agents on the go.
- Migrated Customer and Consumer Portal experiences to make them more standardized and user-friendly, in addition to improving page accessibility to meet the standards of the level WCAG 2.1 (level AA).

Software Engineer

-  Setup initial SMS and Email Notifications related to the process flow and state changes in orders or tasks, along with URL shortener extensions for SMS
- Delivered features related to third party Contractors such as onboarding new agents, order summary PDF generation consisting of debriefing and expense lines
- Enhanced Customer Experience by enabling real-time traffic ETA estimation for Agent Tracking, and added an auto-refresh of the map to bring about an overall real-time location tracking experience similar to Uber, Ola etc.

Associate Software Engineer

Omdena

Helped build a text chatbot answering patients' queries on a particular set of diseases

Junior Machine Learning Engineer

SymphonyAI

Applying state-of-the-art NLP research and algorithms to automate curation of medical documents and extract valuable information

NLP Research Intern

Tata Consultancy Services

Built a Knowledge Graph (KG) out of a corpus of articles related to Programming Languages for further use in recommender systems

Summer Intern

Indira Gandhi Centre for Atomic Research (IGCAR)

Actively looking for SWE/MLE Roles | OMSCS @ Georgia Tech | ML Engineer @ MSD | SDE @ ServiceNow | BITS Pilani Hyderabad Campus

[Actively looking for Full time Software Engineering/ Machine Learning Engineering Opportunities starting May 2025]

Currently pursuing a Master of Science in Computer Science at Georgia Institute of Technology pursuing the Interactive Intelligence Specialization - https://www.reddit.com/r/OMSCS/comments/46ey0u/what_exactly_is_interactive_intelligence/,
Have prior work experience as a Software Engineer and Machine Learning Engineer on high-growth teams @ ServiceNow and Mad Street Den. Currently working with Generative AI and/or LLMs and assessing their impact on Software Development in general.
Open-source enthusiast, contributed to a number of Python packages/libraries on GitHub such as Numpy, Pandas, Scikit-Learn etc.
Worked on NLP in the Healthcare (as well as Insurance) domains in the past.
Always Exploring, Dream Big!

Everyone wants a chip off NVIDIA, the most valuable company.
But with NVIDIA releasing a new SDK by the time you finish reading this post, and updates on models, research, Omniverse, CUDA and robotics every week, it can get overwhelming not just for humans, but even for AI agents to keep up.

The solution?  Meet mcp-nvidia, a lightweight MCP server that lets your AI assistants and LLMs search across official NVIDIA domains including docs, blogs, research, and developer forums to give authoritative answers.

Zero scraping. Zero hallucinations. 

If you’re building AI assistants, agents or RAG systems give mcp-nvidia a spin and let me know what you build. 

Because GPUs may be backordered, but information need not be.

Link to the repository will be in the comments.

Install and use it via pip or npm as follows:

#modelcontextprotocol #mcp #nvidia

Bharat Raghunathan

Working with AI Agent Workflows, MCP Servers and SWE | CS @ Georgia Tech | ServiceNow, MSD, BITS Pilani Hyderabad Campus

How to use MCP NVIDIA:
pip install mcp-nvidia
# or
npm install @bharatr21/mcp-nvidia


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