I'm an AI Engineer at Trans Tech Projects Pvt. Ltd., Pune, working on Retrieval-Augmented Generation (RAG), multi-agent LLM systems, and production document intelligence pipelines. I hold a B.Sc. in Physics (Fergusson College) and an M.Sc. in Data Science (Symbiosis Institute of Geoinformatics).

At work, I've built:

• A Python + computer-vision automation pipeline that cut AutoCAD design turnaround time by 81%
• A FastAPI + OCR document intelligence system achieving 95% extraction accuracy on PDF-to-XML conversion at scale

I like building systems that actually ship — not just notebooks. Most of my projects below are deployed with CI/CD, containerized, and built around real production concerns like failover, observability, and cost.

1. 🥇 paperbrain Production-grade RAG document intelligence system with a 7-agent pipeline (Extract → Analyze → Preprocess → Optimize → Synthesize → Validate → Assemble), FAISS vector search, real-time SSE streaming, and 5-provider LLM failover (OpenRouter → Groq → Gemini → HuggingFace → OpenAI).

2. 🥈 tripmind-ai Production multi-agent travel planning system (TaskflowAI) with 3 specialized agents, 4 real-time API integrations (Amadeus, Weather.com, Serper, Wikipedia), containerized with Docker and deployed on AWS EC2.

3. 🥉 hateguard-nlp Hate speech classifier with a 6-stage MLOps pipeline — LSTM deep learning model, AWS S3 storage, CircleCI CI/CD, and Docker + Flask deployment on AWS EC2.

4. 4️⃣ signlens End-to-End deep learning pipeline for real-time sign language recognition using YOLOv5 and Flask web server.

5. 5️⃣ ai-database-query-bot Web-based Text-to-SQL database query bot using Streamlit, OpenAI, and PostgreSQL for natural language interaction with relational databases.

6. 6️⃣ us-healthcare-analysis-powerbi PowerBI-driven analysis of the U.S. healthcare landscape (2019-2020), examining hospital performance, patient outcomes, and payer-provider dynamics.

Languages:

AI / ML:

LLM APIs:

Vector Stores / RAG:

Backend:

Data:

Cloud / DevOps:

• 🔍 Deepening production RAG architectures — retrieval quality, agent orchestration, and failover design
• 📦 Shipping document intelligence pipelines that hold up at scale, not just in demos
• 🤝 Open to AI Engineer / Data Engineer roles where I can own systems end-to-end
• 🧩 Exploring evaluation frameworks for multi-agent LLM pipelines

📫 Reach me at nachiketlohar0306@gmail.com or on LinkedIn