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Kunal Mahato
Mid-level Software Engineer specializing in AI, full-stack systems, and platform engineering
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About
Full-stack/AI engineer with experience spanning supply-chain product deployments, biomedical agentic search, and research-grade RAG evaluation. Stands out for owning customer-facing migrations at scale (including 216,000 historical shipments), building measurable LLM systems, and pairing AI experimentation with rigorous evals, rollout controls, and auditability.
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Key Strengths
- owned complex customer deployment from discovery through phased rollout
- reduced reconciliation tickets by 85% in shipment unification project
- built reusable migration tooling that saved about 100 developer hours
- strong customer-facing stakeholder management with demos and phased adoption
- full-stack systems thinking across UI, backend, and data migration
- designed agentic multi-source retrieval system for hard-query biomedical search
- improved efficiency by increasing answer coverage while reducing token usage across 10,000 queries
- methodical debugging of non-deterministic LLM/RAG behavior using evaluation metrics
- implemented regression-gating eval harness for prompt/model changes
- improved unstructured document extraction accuracy by 30% over regex baseline
- focus on auditable, reliable AI/data workflows with confidence-based safeguards
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1 publication
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