Summary
Jonathan Gillett is a pragmatic technology leader and CTO with 14 years of experience building production-grade ML, data and blockchain systems from research prototypes to real-time, low-latency services. He has led engineering teams and hands-on development across startups and academia—designing sub-second trading platforms that ingest data from 50+ crypto exchanges, architecting 20+ TB ETL pipelines, and deploying ML/RL models as scalable microservices. Comfortable across the full stack, Jonathan mixes C++, Go and Python for performance-critical systems with JavaScript/React for observability and product-facing dashboards, plus strong DevOps and distributed systems experience. His background includes deploying large Hadoop clusters, research in HFT time-series analysis, and building healthcare research tools with Sunnybrook, showing a rare blend of financial, scientific and applied product work. Based in Toronto, he combines entrepreneurial consulting with a curiosity for art and exploration that surfaces in his creative approach to engineering problems.
15 years of coding experience
6 years of employment as a software developer
Master of Applied Science Electrical and Computer Engineering, Master of Applied Science Electrical and Computer Engineering at Ontario Tech University