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Yashvi Shah
Mid-Level Software Engineer specializing in distributed systems and cloud platforms
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About
Amazon Alexa engineer who architected and shipped a GenAI Knowledge Agent used by 2M+ customers, focused on making LLM outputs auditable via citations and a verification layer that prevents hallucinations. Built the full vertical slice (FastAPI/LangChain backend + React/TypeScript streaming UI) while keeping p99 latency under 200ms, and has proven incident response experience on AWS (Lambda/DynamoDB scaling issues).
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Key Strengths
- Shipped GenAI knowledge agent serving 2M+ customers
- Built trust/anti-hallucination citation + verification layer (forces sourced claims; defaults to 'I don’t know')
- Low-latency architecture at scale (kept p99 <200ms via scatter-gather, asyncio parallelism, semantic caching)
- Customer-facing UX for AI transparency (interactive citations/footnotes; real-time streaming UI)
- Strong production backend engineering (versioned FastAPI, OAuth2/JWT, clean architecture, standardized errors, 95% test coverage, distributed tracing)
- Designed and optimized PostgreSQL double-entry ledger for high-volume ingestion (15k+ daily feeds) with partitioning and ongoing tuning
- Handled AWS production incident end-to-end (Lambda/DynamoDB thundering herd; backoff+jitter; switched to on-demand scaling)
- Reduced negative feedback by 40% post-launch through transparency and verification features
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