I’m an engineer and investor at Binance (YZi Labs), focused on AI, crypto, and high-performance infrastructure.
I work on early-stage investments, with a focus on systems, infrastructure, and AI-native products. I also lead internal research and systems development around AI agents, technical intelligence, and automated analysis.
Before YZi, I joined the founding team of ABCDE Labs as Partner and Tech Lead, leading research, deal sourcing, and investment execution. I independently sourced and led MegaETH from first conviction through exit, and invested all of my PhD savings alongside the fund. The investment realized 20x+ and returned roughly half of the fund’s committed capital; my personal book delivered ~7× MOIC and 4.6× DPI within two years.
Selected Investments: MegaETH (realized 20x+), Cysic, Pi Squared (fully exited), Funes, 42 Space, Hertzflow, and several others across crypto infrastructure and AI.
My research interests span database systems, blockchain infrastructure, learned data structures, Perp-DEX systems, and AI-native systems. Some of my work has been published in ICDE, VLDB and SIGMOD.
I specialize in analyzing complex systems. My background in systems and security, including early work as a white-hat researcher in the Wooyun community, shaped how I read technical systems: architecture, execution logic, performance bottlenecks, security assumptions, and failure modes.
My current focus areas are:
I still build systems myself, from design to implementation. I previously worked on a book about the Ethereum execution layer because writing was the best way I knew to understand a complex system. I now believe AI can do this better.
I also run Happy-Sci, a PhD scholarship initiative that supports researchers around the world. PhD candidates/students are welcome to contact me for a 200 USDT grant. The program operates on BNB Chain and has supported over 700 researchers to date.