Turning ambiguity into platforms people rely on.
15+ years turning messy, high-stakes problems into shipped platforms. From national-scale government systems to AI-native product workflows, I build the roadmap and the team that delivers it.
Comfortable in the backlog and the boardroom.
I'm a product leader based in Bangkok. For fifteen years I've worked at the seam between product and engineering. Close enough to the code to be credible with CTOs, focused enough on outcomes to keep teams pointed at what actually matters.
I tend to show up when things are ambiguous: a brand-new company with no process, a national platform with competing agencies, a global team spread across four continents. As a dual US–Thai citizen I can push Silicon Valley urgency and read the room in a traditional org. Usually in the same meeting.
Most recently I built the product function at Bangkok Silicon Solutions. LLM evaluation, guardrails, and getting teams from prototype to validation in days, not quarters.
Four problems worth telling.
The path to the summit.
- Joined as one of the first hires; built the product management function from 0→1: org design, hiring, methodology selection, planning rituals, and the discovery-to-delivery workflow now used company-wide.
- Built and led a 19-person cross-functional product org (PMs, BAs, UX/UI Designers, Technical Translators); set hiring criteria, coaching standards, performance frameworks, and career paths.
- Stay hands-on in the craft: oversee user journeys, information architecture, screen-level specs, PRDs, and policy and edge-case documentation alongside design and engineering, then drive launch readiness through QA, risk, and compliance review.
- Champion an AI-native product workflow (Lovable, Figma Make, ChatGPT, Claude Code); set team-wide prompt-engineering standards, output guardrails, and pre-launch AI safety reviews. Personally run prompt-injection testing and structured LLM evaluations to inform model selection.
- Oversaw delivery of an internal ERPNext implementation (CRM, project management, HR) and a client-side SAP TM Freight Order rollout for Indorama.
- Aligned architectural decisions and delivery priorities with US-based business stakeholders across time zones; managed vendor relationships and third-party integrations with SLA enforcement.
- Led migration of the digital media portfolio from a React SPA to Next.js with server-side rendering, significantly improving SEO crawlability and organic search rankings.
- Introduced forecasting and delivery models that significantly improved sprint predictability and reduced scope creep.
- Led a 40-person global team to deliver a multi-platform roadside assistance product used by service providers and dispatchers across Europe, Asia, Australia, and the Americas.
- Managed budget, capacity, and risk across multiple concurrent workstreams; reported delivery status, risks, and escalations to global business and technical executives weekly, monthly, and quarterly.
- Drove feature delivery for GDPR (EU) and Australian Privacy Act compliance; coordinated incident response and production issue resolution across distributed teams.
- Owned the product roadmap for a high-scale consumer subscription platform; architected microservices for subscriptions, authentication, notifications, and event pipelines on AWS serverless (Lambda, API Gateway, DynamoDB, Cognito, SNS, SQS, Kinesis, CloudFront).
- Authored technical design specs, API contracts, and ERDs: the artifacts engineers actually use to build.
- Drove data-driven platform improvements using Google Analytics and A/B testing, directly improving subscription conversion rates through iterative experimentation.
- Led build-vs-buy analyses with quantitative evaluation frameworks; presented investment recommendations to CTO-level stakeholders.
- Redesigned QA processes and testing documentation to improve release quality and reduce production defect rates.
- Owned product delivery for a global B2B SaaS platform serving Radisson, Fairmont, Rosewood, and IHG; ran the full backlog and sprint cadence.
- Applied lean experimentation to drive UX improvements and platform adoption growth month-over-month based on usage data and client feedback.
Shipped on nights and weekends.
Side projects are where I pressure test how far an AI-assisted workflow can go. Each of these shipped through the same pipeline I run at work: written specs, agent-driven implementation, and review gates that do not care how the code was produced.
Message a LINE bot a photo of a receipt and Gemini reads it, logs the expense, and flags duplicates by image and content hash. Handles multi-receipt photos and Thai Buddhist-era dates. A web dashboard and an Expo companion app show where the money went.
A Claude Code agent that reads a job posting, pulls matching facts from a personal knowledge vault, and produces a tailored resume and cover letter as styled Word and PDF files. Scores keyword coverage for applicant tracking systems and scans fetched postings for prompt injection before acting on them.
Can a phone camera trace a golf ball in flight without 3D reconstruction? A Swift feasibility spike that answers exactly that question with classical computer vision, zero third-party dependencies, and a test-first pipeline from frame differencing to curve fitting.
How I work.
Multi-year roadmapping
Jobs-to-be-Done
Lean experimentation
Outcome-driven strategy
Cross-functional teams
Exec & stakeholder comms
OKRs / KPI alignment
Risk & capacity planning
LLM evaluation frameworks
Guardrails & safety reviews
Prompt-engineering standards
Adversarial / injection testing
CI/CD & DevSecOps
Headless / microservices
SQL & data analysis
Python · Next.js · React
Let's build something that ships.
Hiring for a product leadership role, or just want to compare notes? The fastest way to reach me is email.