Product engineer building ordering, operations, and practical AI systems with Next.js, Node.js, and Flutter.
I work hands-on across customer ordering, merchant operations, integrations, web, mobile, backend services, and focused AI workflows. Private-source and employer work links to verified case studies with the contribution and confidentiality boundary stated beside each claim.
- CraveUp — named employer platform; my contribution spans customer ordering, merchant operations, React Native staff workflows, and shared Node.js services. Source is private.
- Multi-Location Restaurant Platform — anonymized client delivery under NDA; my contribution spans Flutter ordering, web and operations surfaces, Express services, and provider integrations. Source is unavailable under NDA.
- AI Operations Copilot — anonymized client delivery under NDA; I led retrieval and agent-workflow surfaces over documents, PDFs, and email, with point-of-sale context kept in a separate integration layer. Source is unavailable under NDA.
- Quick Food — owned live ordering demo with checkout hardening, deployment repair, rate limiting, and responsive QA. Live demo
- Resumi — live AI-assisted resume product; my contribution spans Vercel AI SDK workflows, structured editing, live preview, sharing, export, and Stripe-backed billing gates. Live demo
- FormPilot — owned live service-business intake product; submissions are persisted before asynchronous, schema-validated OpenAI Responses API extraction. Live demo
- StudyAI — public-source product-leadership proof; I owned product direction, acceptance criteria, and review. Engineering implementation was completed by the project team. Source
React Next.js TypeScript Node.js PostgreSQL Flutter React Native OpenAI
- Portfolio: mumar.dev
- LinkedIn: linkedin.com/in/mumar20
- Intro call: Book a 30-minute intro call