Sergey Alexandrov
Robotic Vision Team Lead at Aeolus Robotics, Inc.
Vienna, Austria
Summary
🤩
Rockstar🎓
Top SchoolSergey Alexandrov is a Robotic Vision Team Lead based in Vienna with 14 years of experience building perception systems for robotics and 3D computer vision. He has progressed from research roles at TU Wien—where he open-sourced radiometric calibration and a dense 3D mapping module—to leading vision engineering at Aeolus Robotics, shipping practical systems for real-world robots. His background blends academic rigor (state-of-the-art pose estimation and weakly supervised 3D segmentation) with hands-on engineering across C++ and ML toolchains, including documentation contributions to popular projects like skorch and PCL. Sergey is comfortable navigating low-level back-end code quality and high-level neural methods, and he brings a practical focus on color fidelity, dynamic range, and maintainability that often goes unnoticed in production vision stacks.
14 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Autonomous Systems, Master of Science - MS, Autonomous Systems at Bonn-Rhein-Sieg University of Applied SciencesBachelor of Science - BS, Engineering and Technologies, Bachelor of Science - BS, Engineering and Technologies at ITMO University
Stackoverflow
1,251reputation
109kreached
18answers
0questions
Github Skills (30)
pcl10
reflection10
debug10
c-language10
api-design10
sphinx10
point-cloud-library10
standard-library10
reflections10
c-library10
common-library10
cpp10
cprogramming-language10
point-cloud10
documentation10
Programming languages (14)
Github contributions (5)
PointCloudLibrary/pcl
Jul 2012 - May 2020
Point Cloud Library (PCL)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 releases, 4 reviews, 1286 commits in 7 years 10 months
Contributions summary:Sergey primarily contributed to improvements and documentation within the PCL (Point Cloud Library) repository. The commits focused on API modifications, including introducing functionality for loading point cloud data. The user also addressed code issues, and improved comments.
cpppoint-cloud-libraryc-plus-pluscomputer-visionpcl-library
skorch-dev/skorch
May 2018 - Feb 2019
A scikit-learn compatible neural network library that wraps PyTorch
Role in this project:Technical Writer
Technical WriterContributions:18 commits, 16 PRs, 174 comments in 9 months
Contributions summary:Sergey primarily focused on updating and improving the documentation for the `skorch` library. Their contributions included adding hyperlinks to relevant classes, clarifying documentation regarding multiple outputs, and fixing formatting issues, indentation, and typos within the documentation files. The user also added information about event columns in the history and improved the documentation of the Checkpoint callback. These changes enhanced the clarity and usability of the skorch library documentation.
pytorchpythonwrapsneural-networksmachine-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.