About
Computer Science student at PES University with a strong focus on AI. Experienced in building GenAI solutions, implementing RAG and Agentic systems, and working with cutting-edge AI technologies.
Education
PES University, EC Campus
Bengaluru, India
B.Tech, Computer Science and Engineering
CGPA: 8.49
Experience
AI Intern
CognitiveLab
Remote
Building full stack GenAI solutions. Mainly working on OmniParse, a platform that ingests and parses unstructured data into structured, actionable data optimized for GenAI (LLM) applications. Implementing new features using Agentic AI.
Summer Intern
IIIT Bangalore
Bengaluru, India
Worked on the IndicNLP project under Prof. Srinath Srinivasa. Implemented a pipeline to easily search information from a corpus in colloquial Indic languages. Developed a RAG-based AI system for multi-modal question answering in Kannada and created a full stack web application in Next.js and FastAPI.
Project Intern
Bosch University Connect Program
Bengaluru, India
Developed a GenAI platform for Bosch to assist Technicians with Troubleshoot Assistance. Implemented RAG (Retrieval-Augmented Generation) and Agentic AI system to input vehicle issues and receive step-by-step troubleshooting guidance. Used LlamaIndex to create the AI pipeline and Next.js and FastAPI for the interface.
Subject Matter Expert
PESU IO
Bengaluru, India
Teaching a course RAGs to Rich AIs: Build Smart LLMs and Agents. Providing hands-on projects and implementation-based learning on the fundamentals to advanced concepts of RAG and Agentic AI.
Technical Skills
Languages
Frameworks & Technologies
Areas of Expertise
Projects
A voice call-based AI agent assistant for farmers, providing vital information on agricultural subsidies, weather updates, and more. Featured by LlamaIndex as an innovative application of using AI Agents in agriculture.
A Generative AI platform for Bosch to assist Automobile Technicians with Vehicular Troubleshoot Assistance. Implemented RAG (Retrieval-Augmented Generation) and Agentic AI system to input vehicle issues and receive step-by-step troubleshooting guidance.
An AI-powered fashion e-commerce platform revolutionizing clothing discovery and purchasing using RAG, vector search for semantic queries, enabling users to find products using natural language. AI-driven personalization to suggest outfits based on user preferences including image based outfit search.
An LLM-based personalized learning and assessment platform using an AI-based Multi-Agent system for generating, evaluating, grading, and providing feedback to students. Optimizes self-learning by identifying key focus areas within the study material, streamlining the learning process.
Publications
Sharath Srivatsa, Aparna M, Samarth P, Malavika V, and Srinath Srinivasa
CODS-COMAD '25
In Proceedings of the 8th Joint International Conference on Data Science & Management of Data (12th ACM IKDD CODS and 30th COMAD)
Achievements
- Hardware Winner (AMD Kria KR260 FPGA): AMD Pervasive AI Hackathon - Robotics AI Category
- Completed: Qiskit Quantum Challenge Spring 2023, IBM Quantum Challenge 2024
- 1st Place: Arithemania'22 RAS Track (36-hr hackathon by Shunya Math Club + IEEE PESU)
- 1st Place: Unimate'22 (24-hr hackathon by IEEE RAS PESU ECC)
- Winner: Override'22 - Best Overall App (48-hr hackathon by GDSC – PESU ECC)
Leadership & Extracurricular
Club Co-Head: Quantumania PESU ECC
- Organizing an extensible event in collaboration with IBM Quantum and Qiskit, for which only 50 universities were selected globally.
- Conducted "Beyond Bits" workshop to introduce students to the fundamentals of Quantum Computing.
- Did a lab tour of the Quantum and Nano Devices Laboratory (QuaNaD).
- Built the official website for the QuaNaD Lab.
Technical Team: Codechef PESU ECC
Conducted workshops on C++ STL library for junior students