Nilesh Bhoi

About

Software engineer who has owned and improved a customer-facing quote flow in a Vue/Nuxt app, using production observability to reduce latency and improve reliability via caching and request-handling fixes. Also shipped an internal LLM Q&A tool using embeddings + RAG over approved company docs and past support tickets, with guardrails, logging, and an evaluation loop that drove retrieval/prompt improvements. Seeking ~$110k base and requires H1B transfer sponsorship.

Experience

Education

Key Strengths

• Owned customer-facing feature end-to-end (implementation, rollout, post-launch monitoring)
• Performance and reliability optimization using production logs/traces (reduced quote-flow latency, improved reliability)
• Pragmatic tradeoff decisions (speed vs data freshness; safer caching and gradual release)
• Built production RAG system over internal docs and past tickets with guardrails (approved sources, fallback on weak matches, logging for review)
• Designed LLM evaluation loop with test set + metrics (usefulness, retrieval accuracy, fallback rate) and manual review to prevent regressions
• Improved LLM quality by tightening retrieval thresholds and constraining prompts to strong context
• Built scalable data pipeline for messy multi-service data with validation/normalization, retries, and observability