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Ishaan Nanal
Junior Software Engineer specializing in backend systems and AI/ML
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About
Built a RAG-based AI research copilot for technical documents, implementing a Next.js/TypeScript frontend with route-based organization (/, /chat, /settings) and an API-driven thin-client approach; product has been used with a lightweight frontend and is being iterated toward a fuller release. Also designed and optimized Postgres schemas and queries for biological dataset analytics at a seed-stage startup, emphasizing pragmatic speed/quality tradeoffs and end-to-end ownership.
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Key Strengths
- Built an AI research copilot end-to-end from scratch (Next.js + TypeScript)
- Designed product UX around slow/opaque retrieval flows to improve usability
- Pragmatic engineering approach: simple first, iterate for reliability/performance
- Postgres data modeling for analytics workflows (records/processed/runs) with PK/FK constraints
- Improved query performance via indexing and validated with execution timing and query plans
- Modular RAG pipeline design enabling independent retrieval improvements without breaking generation
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