Summary
Maxim Afteniy is a Senior Data Scientist and partner based in Helsinki with nine years of hands-on experience applying deep learning, reinforcement learning, and computer vision to real-world products. He has driven ML work across industry and research settings—from speeding up Siri pipelines at Apple (reducing a two-week process to five hours) to deploying masked PPO with curriculum learning for industrial optimization projects. His background spans end-to-end engineering and research, including federated learning, model quantization, and multi-agent RL experiments performed at Nokia and Bell Labs. Comfortable shipping production systems, he also rebuilt frontend stacks and real-time collaborative tools earlier in his career, giving him a rare full-stack perspective among ML specialists. Colleagues describe him as open-minded and pragmatic, skilled at turning advanced research techniques into robust, deployable solutions. He combines a Master’s in Machine Learning from Aalto University with a proven track record of improving both model performance and engineering velocity.
9 years of coding experience
5 years of employment as a software developer
Master's degree Machine Learning Data Science and Artificial Intelligence, Master's degree Machine Learning Data Science and Artificial Intelligence at Aalto University
Finnish, Russian, English