Summary
Pavel Burmak is a game analyst at AIGRIND with 11 years of engineering and data-analysis experience, combining a Robotics and Mechatronics degree from Bauman MSTU with hands-on work in vibration testing, machine learning, and experimental design. He has run spacecraft vibration experiments, built data pipelines and visualizations in Python, Excel and Tableau, and transitioned ML models from academic research—where he developed a convolutional network and genetic navigation algorithm for vineyard monitoring—into applied projects. Pavel brings a practical blend of mechanical systems insight and data-science rigor, comfortable turning noisy experimental measurements into actionable insights. Based in Moscow, he also contributes as a Qt developer and modal analysis practitioner, reflecting a strong cross-disciplinary toolkit that spans hardware testing to applied ML.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Robotics and Mechatronics, 4.0 out of 5.0, Bachelor's degree, Robotics and Mechatronics, 4.0 out of 5.0 at Bauman Moscow State Technical University
English, Russian, Ukrainian, German