Technical Project Manager · AI | 6+ yrs project management & operations | 4+ yrs product development | Full-stack proficiency
I'm a technical project manager for AI and software products, with 6+ years of project management and operations and 4+ years of product development. For over a decade I led R&D projects and cross-functional teams in deep-tech materials and regulated medical products — taking work from concept validation through pilot to production, with the budget, roadmap and stakeholder alignment that came with it. I've since gone deliberately technical, so I can scope, plan and review software and AI work at specification level — not just track it.
- 🧭 6+ years of project management & operations — timelines, budgets, vendors, equipment
- 🧪 4+ years of product development — owned the technical product roadmap at Daika, from proof of concept to industrial scale
- 🔬 10+ years leading R&D projects and teams of 10+, from lab to industrial scale
- 📋 Spec-first delivery: MRD / PRD, architecture docs, stage gates, risk controls, QA sign-off
- 🎓 Product Management certificate (Technion) · Full-Stack & AI Development Bootcamp
- 🤖 Hands-on with LangChain, LangGraph and MCP, and directing AI-assisted development
- 📫 Reach me at arielzin33@gmail.com
- A physical AI reception platform — conversational AI plus automated hardware for visitor management, parcel lockers and access control.
- Owned the architecture and documentation set from a blank page to pilot-readiness: Software Architecture Document, PRD, design system, market sizing, competitive analysis, and a DPIA/GDPR assessment built into scope from day one.
- 🔒 Private repo, ongoing · Case study
- A stage-gate workflow that walks a software idea through four human-approved phases — Market Requirements Document, Product Requirements Document, Business Plan — with a deterministic calculation layer that keeps invented numbers out.
- Solo, end to end: product definition, gate rules and delivery. The key decision was making approvals enforced exit criteria, not advisory.
- Repository · Case study
- AI-driven circular-economy platform for physical market vendors — surplus disposition (Donate/Barter/Reuse), recipe generation, and capacity forecasting.
- Wrote the spec before implementation and planned the four days day by day; delivered 8+ artifacts on schedule, from market research to pitch deck.
- Built risk controls into the spec — deterministic calculations separate from LLM text, an allow-list of 12 data sources, hard-coded food-safety rules — then ran QA against the spec before sign-off.
- Live demo · PM case study repo · Case study
- A Chrome extension that detects and neutralizes invisible click-intercepting overlays used to hijack clicks into pop-unders and forced redirects.
- Sole founder: framed the exact problem class, set hard constraints up front (client-side only, minimal permissions), and made the explicit risk call on what counts as "suspicious enough to neutralize" — then directed the AI-assisted build.
- Repository · Case study
- An interactive browser-based map overlaying real-world geography with mythological kingdoms, gods and creatures — a deliberately fixed scope, delivered complete.
- PM case study repo · Case study
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