Summary
Jonathan Mak is a machine-learning–focused engineering leader with 9 years of experience building products at the intersection of crypto, AI, and consumer infrastructure. A Stanford BS/MS in Electrical Engineering with concentrations in ML and signal processing, he now leads projects and research in web3 as a Partner at Steel Perlot after scaling product and engineering teams for DeFi, NFTs, and financial infrastructure. His background spans FAANG engineering stints (Apple, Amazon), AI research roles (UnifyID, Schmidt Futures), and hands-on product work (DoNotPay), giving him rare fluency across research, backend systems, and product strategy. Jonathan is comfortable turning advanced generative and biometric models into production features and has repeatedly operated where early-stage product decisions meet carrier-scale engineering. Based in Palo Alto, he combines academic depth with venture-backed operational experience and a knack for translating cutting-edge research into investable, user-facing systems.
9 years of coding experience
2 years of employment as a software developer
Senior Class President, Senior Class President at Whitney High School
Bachelor’s Degree Electrical Engineering, Bachelor’s Degree Electrical Engineering at Stanford University