K P Videsh Kumaar

AI Engineering and Data Science student (CGPA 9.41) who has built and shipped multiple GenAI systems — a multi-agent research pipeline, a RAG document assistant with MMR retrieval, and, during a GenAI internship at Innomatics Research Labs, a RAG customer support assistant with Gemini, ChromaDB, and LangGraph featuring Human-in-the-Loop escalation. Also builds REST backends with FastAPI and is SAP Certified in Generative AI development.

GenAI Intern at Innomatics Research Labs (2026-02 – 2026-05)

• Completed a structured FastAPI track, progressively building a REST e-commerce API that reached 21 endpoints covering product catalog (filtering, sorting, search, pagination), cart, checkout, and order management, with Pydantic-validated request models.
• Completed a parallel GenAI/NLP track: prompt engineering with LangChain templates, a DialoGPT-based conversational chatbot using HuggingFace Transformers, BERT fine-tuning, and Twitter sentiment classification.
• Built a capstone RAG-based Customer Support Assistant using Gemini, ChromaDB, and LangGraph, implementing conditional routing that escalates low-confidence or complex queries to Human-in-the-Loop (HITL) review with citation-backed answers.
• Solved daily logic-building, function design, and data processing exercises in Python as part of the internship curriculum.

B.E. in Computer Science – New Horizon College of Engineering (2023)