Building intelligent systems.
I engineer AI infrastructure, developer tools, and intelligent workflows. Systems-first thinker. Open to Work.
I think in systems, not features.
Hi, I'm Manoj D — an AI/ML Engineer with 1.5+ years building production AI applications, LLM-powered automation, agentic workflows, and RAG systems. I think in systems rather than isolated features, always focused on reducing complexity and delivering measurable impact.
At Infinite Computer Solutions, I architected Zen AI — a production OCR + LLM platform for healthcare document processing that cut processing time by ~90% and saved ~400 hours/month. I design HIPAA-compliant PHI pipelines, Azure-based cloud architectures, and structured prompt-engineering workflows.
On the side, I'm building GravLens-MMA, an AI pipeline that ranks galaxies for gravitational-wave telescope follow-up — and documenting the process on Medium. I also built Sentinel (RAG + dependency graph developer copilot) and an agentic chess engine with Minimax AI.
“Technology should reduce complexity, not add to it. Every system I build starts from that premise.”
Projects that matter.
Each project started from a real frustration, a genuine problem, or a system I wished existed.
GravLens-MMA — AI Gravitational-Wave Follow-up Pipeline
Building an AI-powered ranking pipeline for gravitational-wave telescope follow-up using Python, PostgreSQL, Astropy, HEALPix, and the GLADE+ catalog. Focuses on scalable data ingestion, feature engineering, and graph-based machine learning ranked by Hit Rate@K and MRR.
Zen AI — Healthcare Automation Platform
A production OCR + LLM platform that automates healthcare referral document processing. Reduces processing time by ~90% and saves ~400 hours/month. Built with HIPAA-compliant PHI classification, Azure blob storage, and structured prompt-engineering pipelines.
Sentinel — Developer Intelligence Copilot
A developer copilot that combines dependency graph analysis with Retrieval-Augmented Generation (RAG) to enable natural-language code search. Maps architectures, visualizes module dependencies, and helps developers navigate large codebases conversationally.
En Passant — Territory Chess Ecosystem
A territory-based chess ecosystem combining competitive chess strategy, geolocation, real-time multiplayer interactions, and persistent world mechanics. Python chess engine with full rule enforcement and Minimax AI using alpha-beta pruning.
Where I've worked.
Exposure to regulated healthcare environments taught me the importance of reliability, security, and production-grade AI deployment — things you can't learn from tutorials.
Associate Software Engineer
Oct 2024 — PresentEnterprise healthcare AI systems — architected Zen AI, a production OCR + LLM platform that automates referral document processing.
- Built OCR + LLM pipelines delivering precise, HIPAA-compliant document processing
- Implemented secure PHI classification, ingestion and structured JSON delivery
- Azure Blob Storage, Azure Data Factory migration, and custom Selenium test automation
Full-Stack Developer Intern
Jul 2024 — Sep 2024Built full-stack product features across the React + Node.js stack. Contributed to REST API design, MongoDB schemas, code reviews, and deployment workflows.
- Full-stack features with React, Node.js, REST APIs, and MongoDB
- Participated in code reviews and production deployment workflows
What I'm doing right now.
A live snapshot. Updated whenever something meaningful shifts.
Tools I actually use.
No buzzword bingo. Only tools I've shipped real things with.
Core: Python + FastAPI for AI backends. Next.js + React for product layers. LangGraph for agentic workflows. Azure + Docker for cloud infrastructure.
Where I learned to build.
A background in AI & Data Science gave me the theoretical foundations to build things that actually work in production — not just demo well.
B.Tech — Artificial Intelligence & Data Science
2020 — 2024Specialized in machine learning, neural networks, NLP, and data engineering. Built the foundation for everything from OCR pipelines to agentic AI systems.
Let's build
something.
Open to interesting conversations — AI systems, startup ideas, developer tooling, collaborations, or just a good technical discussion.
Based in Chennai, India · Usually responds within 24 hours