Summary
Maksym Kysylov is a Staff Software Engineer based in San Francisco with 11 years of experience building high-performance native and distributed systems across mobile, automotive, backend, and ML domains. He combines deep C++ and systems expertise from browser and embedded automotive work with recent leadership in machine learning infrastructure and algorithmic pricing at Uber, where he designed novel deep learning architectures and owned cross-domain datasets and pipelines. Maksym has a track record of reducing technical debt and operational defects while mentoring teams, and he’s delivered scalable ML and information-extraction systems in production at companies like Criteo and People.ai. Now at Aurora, he brings a rare mix of low-level performance optimization and high-level data-driven product engineering, enabling fast, reliable systems in real-world, safety-critical contexts. An understated strength is his ability to move between disciplines—browser engines, embedded multimedia, and large-scale ML—turning complex research ideas into robust, production-ready software.
11 years of coding experience
13 years of employment as a software developer
Odessa National Polytechnic University
English