Anatoly Volkov is a Machine Learning Engineer based in Munich with three years of hands-on experience building ML systems and frameworks at Intel and prior software and data roles at Huawei and RnD-42. He combines applied mathematics training from the Higher School of Economics with practical engineering, moving from data analysis into AI frameworks and production ML delivery. At Intel he transitioned from AI Frameworks Engineer to Machine Learning Engineer within a year, reflecting rapid growth in model deployment and tooling responsibilities. Comfortable bridging research and production, he brings a pragmatic focus on scalable, maintainable ML pipelines and a track record of adapting quickly across domains and enterprise environments.
3 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at Higher School of Economics
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