Temurbek Khujaev

Optimisation Engineer and Operations Research Developer

Optifly•  September 2022 - October 2024•  Dublin, Ireland

Designed and implemented both functional and non-functional enhancements to the airline scheduling system, leading to a 10–15% increase in profit through optimized scheduling and up to a 30–40% improvement in runtime performance. Developed advanced heuristics and meta-heuristic algorithms to enhance scheduling performance and quality, significantly improving operational efficiency. Created visualization and bench-marking tools for solutions and scenarios, enabling better analysis and decision-making. Researched and experimented with diverse techniques to overcome local optima challenges by studying research papers and implementing innovative methods, resulting in more robust algorithms.

ICPC Team Coach and Algorithms Mentor

Innopolis University•  October 2022 - January 2023•  Innopolis, Russia

Organized programming competitions, delivered lectures on advanced algorithms and trained university teams for the ICPC (International Collegiate Programming Contest), leading to improved team performance.

Data Scientist

Huawei R&D, AI Lab•  February 2022 - June 2022•  Moscow

Optimized components of a reinforcement learning framework using alternative data structures, enhancing computational efficiency. Researched and improved Monte Carlo Tree Search (MCTS) algorithms within the framework.