Building intelligent systems.
AI Developer & Full-Stack Engineer with 2 years of experience building production AI applications for healthcare SaaS platforms — agentic systems, RAG pipelines, and LLM automation. Systems-first thinker. Open to Work.
I think in systems, not features.
Hi, I'm Manoj D — an AI Developer & Full-Stack Engineer with 2 years of experience building production AI applications for healthcare SaaS platforms — including agentic and multi-agent systems, LLM/NLP-powered automation, and Retrieval-Augmented Generation (RAG) pipelines.
At Cura (Healthcare SaaS Startup), I architect and build the core web platform serving patients and doctors across European countries as sole technical lead, building RAG workflows and pgvector vector search. At Infinite Computer Solutions, I architected Zen AI — a production OCR + LLM platform reducing healthcare document processing time by ~90% and saving ~400 hours/month.
I also engineer autonomous multi-agent research frameworks (LangChain / LangGraph), developer copilots like Sentinel (dependency mapping & blast-radius PR analysis), and GravLens-MMA (AI galaxy ranking for gravitational-wave follow-up across 11M+ astronomical records).
Specializing in healthcare SaaS, agentic LLM workflows, and production RAG pipelines with measurable operational savings and zero hallucinations.
Cura — AI Healthcare SaaS Platform
Architecting and building the core web platform for an AI healthcare SaaS startup serving patients and doctors across European countries, holding complete technical ownership across frontend, backend, and AI system architecture. Building RAG-based AI features and LLM workflows using pgvector for vector search.
Zen AI — Healthcare Document Processing Platform
A production OCR + LLM platform that automates healthcare document processing workflows for operations teams, reducing processing time by ~90% and saving an estimated 400 hours/month. Built structured prompt-engineering and validation workflows to improve extraction accuracy across daily batches.
Multi-Agent Research Orchestrator
Designed and deployed a multi-agent orchestration framework for automated deep research, dynamic task planning, and report generation using LangChain & LangGraph with specialized roles (Researcher, Critic, Synthesizer), dynamic tool calling, state persistence, and Pydantic hallucination mitigation schemas.
Sentinel — Developer Intelligence Copilot
A developer copilot for multi-file repositories that maps architectural dependency graphs and computes blast-radius impact for code changes, featuring an interactive dashboard and GitHub PR workflow with natural-language RAG code search on the roadmap.
Medical Referral Extractor — Vision R&D
A personal R&D system extracting structured medical referral data from PDFs, faxes, and scanned images using Azure OpenAI GPT-4o Vision for OCR-free multimodal document analysis and structured clinical JSON delivery.
GravLens-MMA — AI Gravitational-Wave Follow-up Pipeline
Building an AI-powered ranking pipeline for gravitational-wave telescope follow-up. Ingested the GLADE+ catalog (23M+ records) and curated an 11M-record dataset for feature engineering and graph-based ML ranking evaluated via Hit Rate@K and MRR.
Where I've built things.
From startup technical leadership to enterprise healthcare automation and full-stack development.
Full-Stack AI Engineer
Jul 2026 — Present (Part-Time, Equity-Based)Sole technical lead architecting the core web platform and clinical AI workflows.
- Architecting and building the core web platform for an AI healthcare SaaS startup serving patients and doctors across European countries, holding complete technical ownership of the domain.
- Building RAG-based AI features and LLM-powered workflows using pgvector for vector search, integrated across the full stack to support clinical and patient-facing use cases.
- Owning end-to-end technical decisions across frontend, backend, and AI system architecture as the sole technical lead.
Software Engineer
Oct 2024 — PresentEnterprise AI & cloud engineering for healthcare document processing and data automation.
- Architected Zen AI, a production OCR + LLM platform used to automate healthcare document processing workflows for operations teams, reducing processing time by ~90% and saving an estimated 400 hours/month.
- Designed AI-powered workflow automation to handle daily document batches across secure ingestion, extraction, validation, and structured JSON data delivery.
- Built structured prompt-engineering and validation workflows, debugging backend processing issues to improve extraction accuracy and significantly reduce parsing errors across diverse healthcare documents.
- Led SSIS to Azure Data Factory migration testing across 10+ pipelines; automated claims testing using Selenium.
Full-Stack Developer Intern
Jul 2024 — Sep 2024Full-stack web development and REST API integration.
- Built full-stack features using React, Node.js, REST APIs, and MongoDB while collaborating closely with a team of 3 other interns.
- Participated in code reviews, feature testing, and 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 production software with.
Core: Python + FastAPI for AI backends. Next.js + React for product layers. LangGraph & LangChain for agentic workflows. Azure + Docker for cloud infrastructure. pgvector + PostgreSQL for vector search.
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, healthcare SaaS, developer tooling, startup collaborations, or full-time opportunities.
Phone: +91 6382455809 · Chennai, India · Responds within 24 hours