After six years across data analytics, fraud & risk strategy, and consulting at Binance, Gojek and PwC — being the person who spots risk and deploys solutions before damage compounds — I took a deliberate step back to ask what was worth building next.
I spent the past months going deep: AI automation, web apps, agents — taking ideas from zero to product. I've always wanted to build.
Now focused on where it all converges: AI adoption that drives business outcomes, underpinned by the observability and risk thinking that makes it sustainable.











Interested in having me speak on fraud detection? Get in touch.
Designed, built, and shipped production AI systems end-to-end — agentic workflows, LLM apps, MCP integrations. Architected agents with memory, tool use, and dynamic skill generation. From ideation to production.
Drove AI & risk strategy across KYC — aligned Product, Data Science & Operations. Doubled risk coverage in one year, +15% prevention rate. Spun up a new fraud domain from scratch; 28K fraudulent submissions caught in six months.
Delivered fraud detection rules for platform abuse, balancing commercial outcomes with customer experience. Mapped workflows and recommended risk interventions that produced $240K annual savings. Built real-time monitoring for stakeholder teams.
I'm currently focused on AI product or trust & safety. If you're looking for a speaker on fraud detection, or working on something cool, I'd love to connect.