Summary
Tetiana Gubanova is a backend engineer and navigation systems specialist with over 15 years of commercial software experience and seven years in senior/lead roles, currently contributing to Lyft’s backend. She blends hands-on C++ expertise, strong applied mathematics, and algorithmic problem-solving with people leadership—having built teams, managed fixed-price projects, and acted as tech lead across multiple navigation and high-load systems. Her focus is on autonomous driving, navigation runtimes and route search algorithms, supported by targeted nanodegrees in self-driving cars and AI. Comfortable owning customer-facing technical scope, she bridges low-level systems (QNX/Windows, map formats) and cloud/backend engineering. A pragmatic engineer-manager, she routinely moves between coding, architecture and team delivery to turn complex algorithmic requirements into production systems.
7 years of coding experience
14 years of employment as a software developer
Master's degree, Applied Mathematics, with distinction, Master's degree, Applied Mathematics, with distinction at Odessa National 'I.I. Mecnikov' University
Algorithms: Design and Analysis Part 2, Algorithms: Design and Analysis Part 2 at Coursera.org
Nanodegree, Self-Driving Car Engineer, Nanodegree, Self-Driving Car Engineer at Udacity
Programming a Robotic Car, Programming a Robotic Car at Udacity.com