Full-Stack Architect · Product Engineer (R&D) · AI Adoption Lead
I build at the intersection of AI, product engineering, and developer tooling.
I've spent 17+ years taking products from ambiguous ideas to working software across web, mobile, SaaS, cloud, fintech, e-commerce, media, and enterprise platforms.
Today, I'm a Framework Architect in R&D at Sapiens and part of its AI Tiger Team, working hands-on with enterprise AI adoption, developer workflows, agentic systems, context engineering, and AI-assisted software development.
I still build things myself.
Local-first AI-assisted video creation and rendering
Turn an idea into an editable AI storyboard, scenes, voiceovers, motion graphics, music, and locally rendered videos using HyperFrames and Remotion.
The principle behind it is simple:
AI does the reasoning. Deterministic software does the production.
Self-hosted voice cloning and TTS
A local-first Studio and API for cloning voices and generating speech through interchangeable local engines, without tying the workflow to a cloud TTS provider.
One local dashboard for AI coding tools
Tracks usage, quotas, and reset windows across tools such as Cursor, Codex, Claude Code, GitHub Copilot CLI, Devin, and others without adding another telemetry service.
A practical DevOps teammate for Claude Code
Helps investigate Docker builds, containers, Kubernetes workloads, Helm charts and RBAC, with read-first diagnostics and explicit approval before destructive operations.
An experiment in engineering AI-generated code
617/617 Jira Cloud API operations, deterministic OpenAPI generation, integration testing, packaging verification, and adversarial review.
The experiment reinforced something I strongly believe:
The model is only one part of the engineering system.
Good instructions, architecture, tooling, tests, and verification can completely change the quality of AI-generated software.
AI-native products · Agentic workflows · MCP · LLM integrations · TypeScript · React / Next.js · Node.js · React Native · Python · Cloud & DevOps · Local-first AI
I'm particularly interested in making AI systems useful, inspectable, reproducible, and capable of doing real engineering work, rather than building demos that only look impressive once.
- 17+ years building and architecting production software
- Selected as 1 of 10 engineers for Sapiens' AI Tiger Team
- Helped enable AI workflows for 1000+ Claude Enterprise and 1,000+ GitHub Copilot users.
- Built reusable AI skills, plugins, developer tooling, and full-stack products
- Still happiest when turning an idea into something people can actually use
I'm always interested in conversations around AI, developer tools, open source, product engineering, architecture, and zero-to-one products.
Build things. Test assumptions. Verify the result.