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Searchers: try https://nthesis.ai/public/hn-wants-to-be-hired, https://www.wantstobehired.com.
Willing to relocate: No
Technologies: Python, FastAPI, Next.js, React, TypeScript, Tailwind CSS, Pydantic, MongoDB, Supabase, Gemini API, Framer Motion, Vercel, Railway
Resume/CV: www.linkedin.com/in/fraol-ashebir-218b89239/
Email: fraolashebir84@gmail.com
I build AI-powered web products with typed, auditable backends.
Open to remote contract or full-time work.
AppealMD — AI agent that turns dental insurance denials into payer-specific appeal letters in under 30 seconds. Built as 3 explicit steps (classify -> match payer rule -> generate) instead of one monolithic prompt. Pydantic validation on every AI output stage — if a required field is missing, the API raises immediately rather than shipping a malformed letter. No PHI stored. Live: getappealmd.vercel.app
Briefr — AI research agent that returns cited reports in seconds. Citations pulled from grounding metadata directly, not generated by the model. Migrated from deprecated google-generativeai to google-genai mid-build and revalidated grounding behavior. Live: briefr-ai.vercel.app
GetDodos — Full-stack tutoring platform with Stripe, session management, and document handling. Most technically complex of the three. Live: getdodos.com
I avoid abstractions I can't audit. I make product decisions, not just implementation decisions.
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