Summary
Denis Gavrielov is a pragmatic full-stack software engineer with eight years of experience building scalable systems across Python, TypeScript, C++, and cloud-native infrastructure. He has driven core features from architecture to launch—most recently developing AI-powered test generation infrastructure at Meta and previously leading the Workflows product at Encord that scaled video annotation services and cut storage and load times by over 90%. Comfortable in both startup and large-company environments, Denis blends backend systems design, frontend UX sensitivity, and production-grade tooling (Kubernetes, FastAPI, PostgreSQL) with hands-on mentorship. His background spans low-latency C++ services at Bloomberg to ML-focused APIs and SDKs for ML teams, reflecting a rare mix of performance engineering and developer-facing product work. He favors simplicity without sacrificing capability, inspired by Alan Kay’s philosophy, and brings practical commercial experience from early ventures and quantitative trading projects that sharpen his product intuition.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MSc, Computer Science, Master of Science - MSc, Computer Science at Imperial College London
University of California, Irvine
The Chinese University of Hong Kong (CUHK)
High School, Business Studies, High School, Business Studies at Vienna Business School Floridsdorf
Bachelor’s Degree, Economics and Management, Bachelor’s Degree, Economics and Management at King's College London
English, German, Russian