Understand the business. Define the product. Use AI to amplify delivery.
A regulated sportsbook taught me architecture under high-concurrency load. Two failed business pivots before a multi-tenant SaaS taught me to turn operational pain into a product. A medical platform taught me that compliance and trust can matter more than speed.
With AI on the implementation, a small experienced team now ships what used to need far more roles and handoffs. That didn't make my job easier — it moved it upstream: what problem is worth solving, what the product should become, and what evidence proves it matters.
Where I do my best work: a real business problem, a system complex enough to punish guesswork, and a team that wants a product — not a feature list.
Product-focused tech lead on AI-native work: from business problem to product definition to software in real use.
Made cross-level architecture calls in a medical compliance setting (e.g., skipping sharding and going straight to TiDB), landed cross-hospital imaging sharing in production — cumulative re-exam savings >¥30M for patients.
Lived through two failed business pivots, then sold the pain we'd just survived — as a fresh-supply SaaS for other operators.
Worked on middleware for high-concurrency bet placement at a lottery platform.
Led the SOA rewrite of SportsBook at a UK regulated sportsbook — first full exposure to international collaboration, high-concurrency architecture, and regulator certification.