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Sai Chatrathi
Mid-level AI/ML Engineer specializing in healthcare analytics and MLOps
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About
Built and deployed a production LLM-powered lesson adaptation platform for K–12 educators that personalizes content for multilingual and neurodiverse students using RAG and content transformation. Owned the full stack from FastAPI backend and OpenAI integration through reliability/safety controls, latency/cost optimization, and weekly shippable modular APIs, iterating directly with curriculum stakeholders to reduce hallucinations and improve educator trust.
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Key Strengths
- End-to-end delivery of production LLM features (design, build, deploy, iterate)
- Applied hallucination/reliability mitigation using structured prompts, rule conditioning, and grounding
- Performance and cost optimization for LLM systems (context optimization, caching, batching)
- Safety and privacy implementation via strict data handling and secure storage
- Designs modular, monitorable multi-stage AI workflows with clear guardrails and failure boundaries
- Strong evaluation discipline (layered testing, KPIs, monitoring, continuous improvement)
- Effective collaboration with non-technical stakeholders to define quality constraints and iterate on prototypes
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