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Shejal Shankar
Mid-level Full-Stack Engineer specializing in AI and real-time systems
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About
Full-stack engineer who shipped a production "Financial Insight" assistant dashboard in Next.js App Router/TypeScript, integrating a RAG pipeline (embeddings + ChromaDB + LLM) via route handlers and owning post-launch performance (latency, token cost, retrieval relevance). Also built/optimized Postgres-backed workflows for an outbound dialer and callback routing engine handling ~10,000 daily contacts, validating query performance with EXPLAIN (ANALYZE, BUFFERS).
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Key Strengths
- Shipped full-stack Next.js App Router feature end-to-end (assistant dashboard)
- Designed server/client component split to minimize client bundle and protect credentials
- Built and integrated RAG workflow (embeddings + ChromaDB + LLM) behind API route handlers
- Post-launch ownership: monitored latency/token usage/retrieval relevance and added failure logging
- Reduced token cost ~15% via prompt length optimization
- Improved initial render performance by moving data fetching to server components and adding Suspense
- Designed relational workflow model for high-volume outbound dialer/callback routing (~10k daily contacts)
- Validated and optimized Postgres queries using EXPLAIN (ANALYZE, BUFFERS)
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