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Hasin Rahman
Entry-level AI Engineer specializing in agentic LLM systems
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About
Recent graduate who independently built scholar.ai from scratch in roughly two weeks, shipping a full multimodal ingestion, retrieval, and grounded Q&A system for students. Also created Anchor SDK, an open-source framework for runtime hallucination detection and recovery, showing unusually strong depth in production LLM systems, evals, and reliability for an early-career candidate.
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Key Strengths
- Built full-stack AI product end-to-end under tight constraints
- Strong RAG architecture and retrieval grounding expertise
- Production AI systems with measurable outcomes
- Sub-100ms semantic retrieval latency
- Reduced LLM API costs by 60%
- Designed secure multi-tenant systems with database-level RLS
- Strong TypeScript API/frontend integration discipline
- Shipped streaming AI UX with structured citations
- Rigorous LLM evals and regression testing
- Built hallucination detection and recovery framework
- Improved grounding by 9.2 points in Anchor SDK
- Balanced automation vs human review based on operational risk
- Excellent early-stage prioritization and rapid iteration
- Launched usable product to real users within days
- Open-source builder mindset
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Mid-level AI Engineer specializing in computer vision and RAG systems
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