Aleksi Hämäläinen is a Tech Lead Manager based in San Francisco with 10 years of experience building robotic perception and control systems that bridge research and production. He combines deep learning, probabilistic ML and classical robotics (PyTorch, C++, OpenCV, ROS, MuJoCo) to deliver end-to-end solutions for manipulation and vision, including a published sim-to-real system for cluttered object detection and action generation. At Nimble Robotics he progressed from engineer to tech lead manager, driving both hands-on development and team delivery. Notable for domain randomization and simulation-first training approaches, he applies rigorous research methods to practical warehouse robotics problems. His background in industrial engineering and a high-performing MS in machine learning give him a strong systems perspective and product-aware mindset.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Industrial Engineering and Management, With Honors, Bachelor of Science - BS, Industrial Engineering and Management, With Honors at Aalto University
Tsinghua International Summer School, Deep Learning, Tsinghua International Summer School, Deep Learning at Tsinghua University
Affordance Learning for End-to-End Visuomotor Robot Control
Contributions:60 commits, 2 PRs, 9 pushes in 9 months
roboticsaffordanceend-to-endrobotrobot-control
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Aleksi Hämäläinen - Tech Lead Manager at Nimble Robotics