.png&w=256&q=75)
1
1
India
2+ years of experience
AI engineer who builds and ships fast with LLMs. Hands-on experience writing system prompts, building RAG pipelines with LangChain and LLM APIs, and deploying production AI systems using Docker and GCP Cloud Run. I build AI systems and use AI tools like Claude, Gemini, Cursor, and Copilot daily to build them faster. I understand the underlying architecture; AI helps me iterate quickly, test aggressively, and ship at speed. Comfortable with ambiguity and figuring things out end-to-end. Presented NLP research at ICIST 2025. MCA graduate from Manipal Institute of Technology, looking to work at an early-stage AI company where the product itself is AI.

ContractSentinel is a multi-agent system that analyzes enterprise contracts for risk, policy violations, and generates redlined rewrites instantly. Why dual LLMs? Groq (LLaMA 3.3 70B) powers Agents 1–3: blazing fast, free, zero rate-limit issues for parallel calls Google Gemini 2.0 Flash powers Agent 4 (Redline Engine): maintains Google prize eligibility, single focused call so no rate limits Tech Stack Backend: FastAPI (Python) AI — Reasoning: Groq API (LLaMA 3.3 70B) - Agents 1, 2, 3 AI — Redlines: Google Gemini 2.0 Flash - Agent 4 PDF Parsing: pdfplumber Deployment: Docker on Railway (free) or any VPS Frontend: Vanilla HTML/CSS/JS (zero dependencies) Hackathon Tracks ✅ Collaborative Systems - 4 specialized agents coordinated by a planner ✅ Enterprise Utility - solves real legal review bottleneck for managers and procurement teams ✅ Agentic Workflows - agents run in parallel with dependency management
19 May 2026