نبذة عني
M.Tech graduate in Computer Science and Engineering from CUSAT, specializing in Artificial Intelligence and Soft-ware Engineering. Experienced in building RAG pipelines, LLM-integrated applications, and multi-agent autom…
M.Tech graduate in Computer Science and Engineering from CUSAT, specializing in Artificial Intelligence and Soft-ware Engineering. Experienced in building RAG pipelines, LLM-integrated applications, and multi-agent automation systems using Gemini API, LangChain, and Microsoft AutoGen. Proficient in Python, Node.js, React.js, MongoDB, and REST APIs. Strong foundation in data structures, algorithms, OOP, and Generative AI concepts.
الخبرة
AI Intern
<p>Developed an end-to-end RAG document QA application using Gemini API and ChromaDB, supporting PDF ingestion, semantic search, and context-aware answer generation.</p><p> Engineered prompt workflows and multi-agent automation using AutoGen, from PDF ingestion to production-ready response generation.</p><p> Enhanced vector DB retrieval via chunk size tuning and embedding configurations for improved semantic accuracy.</p>
MERN Stack Intern
<p>Built and deployed full-stack web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js).</p><p> Documented and maintained REST APIs with CRUD operations for dynamic data handling using Postman.</p><p> Adopted MVC architecture for clean separation of frontend and backend logic.</p>
المشاريع
RAG based Question answering System
<p>Developed an end-to-end RAG document QA application using Gemini API and ChromaDB, supporting PDF</p><p>ingestion, semantic search, and context-aware answer generation.</p><p>Engineered prompt workflows and multi-agent automation using AutoGen, from PDF ingestion to production-ready</p><p>response generation.</p><p>Enhanced vector DB retrieval via chunk size tuning and embedding configurations for improved semantic accuracy.</p>