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Mohammed Rehan UserMU
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Mohammed Rehan User

@mohammedrehanuser

AI engineer at Turing who evaluated LLM responses for RLHF and built multi-agent AI products.

India
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At Turing, I evaluated frontier LLM responses for correctness, reasoning quality, and instruction-following, producing preference signals for RLHF reward modeling. I also authored reference solutions and curated SFT datasets with adversarial and edge-case prompts.

For Friday, I built a persistent fleet of five specialist AI agents that generates evidence-backed commerce strategy recommendations. I developed its FastAPI modular monolith and tested it across parallel missions, budget limits, and cancellation and timeout paths.

I also built Anton, a PDF-grounded RAG agent with pgvector retrieval and a two-runtime backend, and ForkedUp, a video-first food discovery and ordering platform. I'm developing Doable, an AI-powered app builder that generates, scaffolds, and deploys applications from user descriptions.

Experience

Work history, roles, and key accomplishments

Turing logoTU

AI Engineer (Contract)

Jun 2025 - Aug 2025 (2 months)

Served as a human-in-the-loop evaluator for frontier LLM post-training pipelines, assessing model responses for correctness and reasoning quality. Generated and curated SFT datasets by authoring reference solutions and crafting adversarial prompts.

Education

Degrees, certifications, and relevant coursework

Birla Institute of Technology and Science, Pilani logoBP

Birla Institute of Technology and Science, Pilani

B.Sc, Computer Science

Pursuing a Bachelor of Science in Computer Science with an expected graduation in 2027.

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