# Sujeet Gund
Agentic AI Engineer · M.Tech AI @ VIT Bhopal
Building autonomous agentic systems, production RAG pipelines, and LLM-powered infrastructure.

## About
Engineering intelligent systems from first principles to production.
Final-year Integrated M.Tech in AI at VIT Bhopal, with hands-on experience building production AI systems at Divam Technologies.
I specialize in agentic architectures — LangGraph multi-agent workflows with HITL checkpoints, hybrid RAG with pgvector, and FastAPI backends deployed on AWS and GCP. I focus on building systems that handle real workloads, not just demos.
Outside work, I ship ambitious side projects: an agentic email processing SaaS, an AI-native commerce engine, and open-source tools that push LLM orchestration beyond tutorial limits.

## Contact & Links
- Location: Barshi, Maharashtra, IN
- Email: sujeetgund@gmail.com
- LinkedIn: https://linkedin.com/in/sujeetgund
- GitHub: https://github.com/sujeetgund
- Website: https://sujeetgund.in
- Resume: https://sujeetgund.in/resume

## Experience
- GenAI Developer Intern at Divam Technologies (Apr 2026 - Sep 2026): Led end-to-end GenAI development across real-time voice infrastructure, multi-agent systems, and enterprise RAG pipelines deployed on AWS. Built a hybrid RAG system with 10x retrieval latency reduction (<5ms), a WhatsApp voice agent using Deepgram, OpenAI, Cartesia, and LiveKit WebRTC (<700ms TTFA), an async user context pipeline, and production AWS infrastructure with GitHub Actions CI/CD.

## Projects
- GroundedAI — Self-Correcting Multi-Source Agentic RAG: Eliminates LLM hallucinations across complex multi-source documents by combining hybrid RRF vector search with local NLI faithfulness verification (94.2% grounding precision). (LangGraph, FastAPI, pgvector, NLI DeBERTa v3, Next.js, Redis) - https://github.com/sujeetgund/grounded-ai - https://sujeetgund.in/projects/grounded-ai
- rzp Merchant — Autonomous Agentic Commerce Engine (MCP/ACP): Implements MCP enabling external AI agents to autonomously discover products, optimize baskets, and execute Razorpay transactions under multi-tier security mandates. (Next.js, LangGraph, Gemini 2.5, Razorpay SDK, MCP, pgvector) - https://github.com/sujeetgund/rzp-merchant - https://sujeetgund.in/projects/rzp-merchant
- MailMind — Agentic Email Processing & HITL Engine: Automates inbox operations with intent classification (96.5% accuracy), RAG draft generation, and PostgreSQL-persisted Human-in-the-Loop approval checkpoints (88% operational time reduction). (LangGraph, FastAPI, Resend, Groq, FAISS, PostgreSQL) - https://github.com/sujeetgund/mailmind - https://sujeetgund.in/projects/mailmind

## Skills
- Languages & Databases: Python, TypeScript, PostgreSQL, MongoDB
- AI/ML: LangGraph, LangChain, RAG Systems, pgvector, PyTorch, NLP, Agentic AI
- Backend & Infrastructure: FastAPI, Next.js, Docker, BullMQ, AWS, GCP, GitHub Actions

## Education
- VIT Bhopal University: Integrated M.Tech in Artificial Intelligence (Sep 2023 - Mar 2028), CGPA: 9.33

## Certifications
- Building RAG Agents with LLMs (NVIDIA, Oct 2026)
- Complete Data Science, Machine Learning, DL, NLP Bootcamp (Udemy, Dec 2025)
- Applied Machine Learning in Python (University of Michigan, Dec 2024)
- Supervised Machine Learning: Regression and Classification (DeepLearning.AI, Jul 2023)
- AWS Cloud Essentials (Amazon Web Services, Jun 2023)