Safee Rehman
@safeerehman
I build production agentic AI systems with LangGraph, retrieval, real-time voice, and reliable evaluation pipelines.
What I'm looking for
At MATZ Solutions, I lead AI work for HalalOne, building a multi-node LangGraph agent that answers certification queries across a catalog of more than 200,000 records. I designed retrieval across keyword, semantic, and web search, plus WebSocket streaming that keeps in-flight responses resilient through client disconnects.
I build agent systems end to end: translating ambiguous needs into workflows, tool calling, structured outputs, LLM business logic, and deployment. For Tadabbur, I created a multi-tool retrieval-augmented agent over 6,200+ tafsir and Asbab al Nuzul passages, with sub-agent routing for retrieval, story generation, and image illustration.
I care about controlled, reliable agent behavior. I've built LangSmith and custom evaluation harnesses for intent classification, tool trajectories, retrieval relevance, structured outputs, and hallucination rates, and I also developed a real-time voice agent to autonomously run London Halal Forum 2025.
Experience
Work history, roles, and key accomplishments
AI Team Lead
MATZ Solutions Private Ltd.
Jul 2025 - Present (1 year 2 months)
Leading the development of production-grade agentic systems, including multi-node LangGraph agents for certification queries and real-time voice pipelines. Built evaluation pipelines and architected scalable retrieval systems.
Education
Degrees, certifications, and relevant coursework
NED University of Engineering and Technology
Bachelor of Engineering, Computer and Information Systems
Bachelor of Engineering in Computer and Information Systems from NED University of Engineering and Technology, completed in June 2025.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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