John Terzis is an entrepreneurial engineering leader with over a decade of experience building production-grade distributed systems, ML pipelines, and Web3 infrastructure. He has led and scaled engineering teams from 0 to 1 as CTO of a decentralized NFT lending marketplace and later drove network ecosystem and data infrastructure for a real-time decentralized chat backed by top-tier investors. At Cloudflare he bridged systems and applied ML work—shipping edge ML inference and the company’s first GPU-aware training/validation pipeline on Airflow and Kubernetes. His background includes founding-engineer work in crypto lending at BlockFi and production ML fraud and portfolio systems in fintech, reflecting a rare blend of finance, data science, and cloud-native platform expertise. Based in the U.S., he combines hands-on implementation skills with operator relationship and infrastructure stewardship, and often surfaces product extensions—like third-party apps on protocol networks—that reveal a product-minded engineering approach.
11 years of coding experience
6 years of employment as a software developer
BA (Bachelor of Arts) Economics / Statistics, BA (Bachelor of Arts) Economics / Statistics at New York University
High School Diploma, High School Diploma at The Browning School
MSc (Master of Science) Computer Science, MSc (Master of Science) Computer Science at Columbia Engineering
Decentralized P2P Stock Image Marketplace on Ethereum
Contributions:2 PRs, 25 pushes, 1 branch in 21 days
marketplacestock-imageethereump2pblockchain
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.