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Maaz Rehman, Full Stack AI Engineer

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I build retrieval and LLM systems that run in production, and I like fixing what makes them slow or wrong.


⚡ What I do now

Founding full-stack AI engineer at COROS AI since April 2025. I designed and built the AI platform from scratch as a set of services, and own features from system design to deployment.

Average response time before 27 to 32 seconds, after 6 to 10 seconds

  • Faster retrieval: reworked semantic search and retrieval in our RAG system to get the numbers above.
  • Memory that stays on topic: a semantic memory layer with topic-isolated user spaces and time-based decay, so context from one topic does not leak into another.
  • Answers you can trust: automated evals with relevance scoring, and HyDE-based retrieval to cut hallucinations.

🚀 Projects

Project What it is
📚 NextBook · live Book recommendation system with a retrieval-augmented LLM pipeline. Deployed at Abul Kalam University Library, 200+ users, about 50% faculty adoption.
🎯 PinpointAI · live Turns meeting transcripts (VTT or DOCX) into editable action items, with PDF export. Next.js, Express, OpenAI API.

🧰 Stack

Python 84EF TypeScript FastAPI Node.js React Next.js

RAG LangChain LangGraph OpenAI Claude

PostgreSQL pgvector Pinecone Redis

Google Cloud Docker Terraform GitHub Actions

🎓 Elsewhere

BS in Computer Science (AI and ML), NED University, expected 2027. Winner of the Data Insights Hackathon.

If you have a retrieval or LLM system that is slow, wrong, or hard to trust, I am happy to talk.

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