Lemikhov Aleksander

Lemikhov Aleksander is a Machine Learning Engineer at Quantum Brains since August 2023, where contributions include developing an API for simulation launches and scaling the service for multiple teams. Previously, Lemikhov held the position of Data Scientist at Mind&Machine, focusing on employee task allocation systems and workforce demand estimation. As a Research Specialist at Schlumberger, Lemikhov developed a two-phase petroleum reservoir model utilizing reinforcement learning for oil well control. Early career experience includes a Research Student role at Acronis, working on forecasting and anomaly detection models based on server latency logs. Lemikhov holds a Master's degree in Mathematics and Computer Science and a Bachelor's degree in Applied Mathematics from the Moscow Institute of Physics and Technology. Proficiency in tools such as Python, pandas, and Prometheus is also notable.