About

I build tools for Bitcoin forensics and responsible AI.

Through TrailBit Labs, I research the heuristics that blockchain analysts rely on to trace transactions — common-input-ownership, change address detection, timing analysis. The question driving this work: when we claim to know who sent bitcoin to whom, how confident should we actually be?

I enjoy tracing UTXOs, analyzing transaction flows, and uncovering hidden patterns within the Bitcoin ledger. To me, the blockchain is a living dataset — complex, transparent, and full of stories waiting to be uncovered. From sanctions screening tools to forensic transaction reports, I build things that make the invisible visible.

Through PLA Health, I'm building an iOS app that gives people health recommendations based on their biomarker data. Every recommendation carries an evidence grade — from L1 (backed by meta-analyses) down to L6 (preclinical only) — because when the stakes are personal, people deserve to know how much to trust what they're being told.

I write about these topics in Bitcoin Heuristics Field Notes, a biweekly newsletter on blockchain forensics methodology. I'm increasingly interested in how the challenges of blockchain transparency mirror those of AI interpretability — both are attempts to reverse-engineer meaning from systems that weren't designed to be understood.

By day, I'm a Director at Deriv, where I work on AI and product. I hold an MSc in Blockchain & Digital Currency from the University of Nicosia and a BSc in Information Technology from DePaul University.