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 help startups and enterprises turn real workflows into practical AI agents and automations—designed, built, and shipped end-to-end.
From agent products to developer enablement, I turn messy processes into useful tools that reduce manual work and help teams move faster.
Designing and building practical AI agent systems for startups and enterprises, from workflow diagnosis and architecture to production delivery.
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.
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.