Shubhangi Jeve — AI Researcher

I build AI systems that work in production — not just notebooks. Currently working as an AI Engineer Intern at COGNITBOTZ (Hyderabad), where I'm developing LegalAID — an enterprise-grade Legal Research and Litigation Assistance Platform powered by Retrieval-Augmented Generation (RAG), hybrid vector search, and LLM-driven drafting for Indian court case data. What I bring to the table: ⚙️ RAG & LLM Engineering — Multi-stage hybrid retrieval pipelines (pgvector + PostgreSQL full-text search), hallucination control, citation-grounded answer generation, abstention policies 🧠 LLM Integration — Groq API, Google Gemini, Ollama, LangChain, LangGraph, Hugging Face Transformers, Fine-tuning, Prompt Engineering 🔍 Vector Search & Embeddings — sentence-transformers (BGE-M3, multilingual-e5), FAISS, ChromaDB, pgvector, Hybrid Semantic + Lexical Search 🛠️ Full-Stack AI Apps — FastAPI, SQLAlchemy 2.0, Pydantic v2, Next.js 14 (TypeScript), Tailwind CSS, Flask, Streamlit 🚀 DevOps & Deployment — Docker, Docker Compose, Git, N8N, REST APIs Past experience includes building a Healthcare RAG Chatbot at Infosys Springboard (FAISS + Flask + React) and a Text-to-SQL system at Adhyayan IT using LangChain + Gemini, achieving 100% context precision on RAGAS evaluation. I hold a B.Tech in Artificial Intelligence and Data Science (CGPA: 8.5) from Terna College of Engineering and am actively looking for full-time AI Engineer / Gen AI Engineer roles where I can build real-world intelligent systems at scale. 📩 Open to opportunities — feel free to connect or reach out at shubhangijeve@gmail.com

Stackforce AI infers this person is a Full-Stack AI Engineer specializing in LegalTech and Healthcare solutions.

Location: Hyderabad, Telangana, India

Experience: 0 mo