# Bhimesh Chauhan

> Lead AI platform engineer (10+ years of production software) operating at staff scope, with experience embedded with customer teams. Builds and runs production RAG and LLM systems end to end, from retrieval architecture to launch-day reliability, and leads teams of 4-5 engineers and designers. Currently Lead Software Engineer at Rare Days.

Roles of interest: forward deployed engineer, staff / principal AI platform engineer, lead / founding engineer. Every claim below is backed by a case study on this site. Full detail is in /llms-full.txt; structured data is in /resume.json.

## Role fit
- [Hire: role fit and evidence](https://bhimeshchauhan.github.io/hire/): the three role types above, each with the shipped work behind it and posting keywords.

## Case studies (shipped work, with measurable outcomes)
- [Jefferson Fisher launch platform](https://bhimeshchauhan.github.io/case-studies/jefferson-fisher/): led engineering for a client launch at Rare Days; about $700K USD in total sales in under 48 hours; Next.js, Stripe, queue-protected checkout.
- [Ask Kindred](https://bhimeshchauhan.github.io/case-studies/ask-kindred/): production RAG assistant, SDK integration to production for three customer companies, about 200 daily active users; multi-tenant, grounded retrieval with citations.
- [Scrubs Co-Pilot](https://bhimeshchauhan.github.io/case-studies/scrubs-copilot/): founded and built an ambient clinical AI platform (Whisper, RAG, LLM); about 80% less clinician documentation time.
- [Wrangle](https://bhimeshchauhan.github.io/case-studies/wrangle/): mobile and platform engineering (Expo, NestJS, Supabase); 1,000+ automated tests, 46 migrations, 3 automated deploy pipelines.
- [RAG Portfolio Assistant](https://bhimeshchauhan.github.io/case-studies/rag-portfolio-assistant/): the grounded assistant on this site (pgvector, Supabase Edge Functions); live and public.
- [PDF-to-Audiobook](https://bhimeshchauhan.github.io/case-studies/pdf-to-audiobook/): NLP and TTS pipeline with NER, coreference and speaker attribution.

## Experience and skills
- [Experience](https://bhimeshchauhan.github.io/experience/): Rare Days (Lead Software Engineer), Scrubs Co-Pilot (Founder and CTO), BenchSci (Lead AI and Full-Stack Engineer), MicroMart, Preply, DataRobot, Pitchly, Nebullam.
- [Skills](https://bhimeshchauhan.github.io/skills/): RAG, LLM applications, TypeScript, Python, React, Next.js, Node.js, PostgreSQL, pgvector, Neo4j, Supabase, AWS, CI/CD.
- [Projects](https://bhimeshchauhan.github.io/projects/): products architected and shipped.
- [Recommendations](https://bhimeshchauhan.github.io/recommendation/): written recommendations from colleagues.

## Contact
- [Email](mailto:bhimeshchauhan@gmail.com)
- [LinkedIn](https://www.linkedin.com/in/bhimeshchauhan)
- [GitHub](https://github.com/bhimeshchauhan)
- [Contact page](https://bhimeshchauhan.github.io/contact/)

## Optional
- [Full profile for LLMs](https://bhimeshchauhan.github.io/llms-full.txt): complete work history, case-study detail and a requirement-to-evidence index.
- [JSON Resume](https://bhimeshchauhan.github.io/resume.json): the same history in JSON Resume schema.
- [Resume (PDF)](https://bhimeshchauhan.github.io/resume.pdf)
- [Blog](https://bhimeshchauhan.github.io/blog/): essays; [RSS](https://bhimeshchauhan.github.io/feed.xml)
- [Art](https://bhimeshchauhan.github.io/art/) and [Goals](https://bhimeshchauhan.github.io/goals/): personal pages