9 years of experience in data and AI across fintech, enterprise tech, and the agentic frontier. Currently Head of DevRel & Forward Deployed Engineering at Virtuals Protocol — building AI agents, architecting frameworks, and growing the developer ecosystem.
Leading a technical team building AI products — companion agents, evaluator agents, and adtech agents seeding an open agent marketplace. Architecting the frameworks that other builders build on. Speaking at ETH Denver, Coinbase hackathons, and across the global agent ecosystem.
I work with startups and enterprises as an embedded, forward-deployed engineer: close enough to understand the workflow, experienced enough to architect the system, and hands-on enough to implement it end-to-end. I build practical AI agents and automations that remove manual work and help teams move faster.
With experience spanning agentic products, workflow automation, and developer enablement, I thrive in helping developers and teams turn messy processes into useful agents, workflows, and internal accelerators, either as a solo developer or within a lean team.
Building and maintaining AI products. Architecting agent frameworks and seeding the marketplace with companion, evaluator, and adtech agents. Leading developer relations and mentoring engineers across the ecosystem.
Advising and implementing end-to-end AI agent systems for startups and enterprises, from workflow diagnosis and solution architecture to production-ready builds. Works solo or in lean teams to automate manual processes, improve internal operations, and make AI adoption practical for day-to-day work.
Taught and supported data science and analytics classes covering Python, SQL, Tableau, scikit-learn, and applied analytics workflows. Helped learners make technical concepts practical through hands-on exercises and real-world tooling.
Designed the data model for Thailand's largest bank, optimised for a lakehouse architecture on Databricks. Databricks partner champion.
Designed Azure data mesh platforms and AWS data architectures for a major Japanese telco and Malaysian FSI. Built ML models for HR analytics using Databricks model registry and serving. 11 cloud certifications across Databricks, Azure, and AWS.
Built data pipelines and datamarts for 5+ SuperApp categories with 9+ external partners. Developed causal inference models and A/B test frameworks to quantify product impact at scale. Built an internal tool to democratise causal inference across the org.