CS degree. Booth MBA. Former McDonald's Data Strategy & Privacy lead. Now building AI products and production agents from Israel — and sharing what actually works.
AI-powered regulatory compliance tracking. Designed it, built it, launched it, and run it — no team. Daily scraper, LLM classifier, morning briefings, Stripe subscriptions. This is what tinkering turns into when you keep going.
Conversational interface over Gong + HubSpot data for a company's sales and ops team. Architected, built, tested, deployed. A company hired me to build this — it works.
Endurance-nutrition app. Sole owner of every layer — product, architecture, RAG pipeline, QA. Real production complexity, alone.
Sr. Manager leading data strategy on MCDP — the CDP powering personalization at scale. Embedded privacy and governance into delivery. Led a team of data scientists; worked across engineering, legal, and business.
Associate Brand Manager, Kraft Barbecue. Managed a $116M portfolio, led two SKUs to market, oversaw a $15M budget. P&L ownership and real launches — the business fundamentals I still apply.
At 18, the Israeli Air Force handed a group of us a book on C++ and left us alone for a few days. No instruction. No internet on the army computers. Just: figure it out, show us what you built.
Not the content — the method. How to sit with something you don't understand and work at it until you do. How to tinker. How to be comfortable not knowing, as long as you're moving. That instinct has followed me through everything since.
From there: a CS degree, equity research at Barclays, consulting at PwC, a Booth MBA, brand management at Kraft with a $116M portfolio, and four years at McDonald's as Senior Manager for Data Strategy and Privacy — leading the customer data platform that powered personalization at scale across one of the world's largest consumer companies.
Then in 2024, I walked away. Moved to Israel. Started building with AI. After 10+ years in corporate, I missed building, but the syntax had moved on. My original coding skills were obsolete; my understanding of systems, architecture, debugging, and how to learn fast was not. AI closed that gap. It let me turn the builder part of myself back on.
Since then: Regulation Monitor is live with real subscribers. An AI agent I built is running in production at a startup. And I'm still building the next thing. That's not a phase — that's the whole approach.
Designing and building production agents for your workflows. From architecture to deployment to the unglamorous reliability work that keeps them running.
Brief me →Helping Israeli and global executives separate useful AI from vendor theater. Real scope, real risk, real timelines. I've lived both sides.
Book a call →For founders who need someone who thinks technically and commercially. Product direction, architecture review, and the judgment calls between them.
Reach out →Real tools, real projects, real lessons. What works, what breaks, and what business leaders should understand before they buy or build AI.
I'm based in Israel and work with companies globally.