Aaron Low
Robotics Engineer at Wayve
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolAaron Low is a robotics engineer based in Singapore with 10 years of experience blending computer vision, machine learning and software engineering to build perception and sensor-calibration systems for autonomous vehicles. He has moved from academic research in hand and object pose recognition to applied roles at Motional—where he designed deep learning training pipelines, cloud-based continuous validation systems and on-board online sensor calibration—and now to Wayve. Aaron’s background includes teaching ML fundamentals and early C++/WPF software engineering, giving him a rare mix of production-grade engineering, research rigour and pedagogy. He excels at turning complex sensor data into reliable, deployable calibration and visualization tools, and is comfortable shipping both cloud and embedded solutions. An early focus on extrinsic sensor registration informs his pragmatic approach to scalable perception systems.
10 years of coding experience
5 years of employment as a software developer
Master of Engineering (MEng), Electrical and Electronics Engineering, First Class Honours, Master of Engineering (MEng), Electrical and Electronics Engineering, First Class Honours at Imperial College LondonEdexcel A-Levels, 4A* (Chemistry, Physics, Mathematics, Further Mathematics), Edexcel A-Levels, 4A* (Chemistry, Physics, Mathematics, Further Mathematics) at HELP University
English, Malay
Github Skills (25)
machine-learning10
science10
julia10
numerical9
programming-language9
julialang9
hpc9
root-finding9
petsc9
splines6
brain-computer-interface6
quantile6
sparse-matrix6
assembler5
simulator5
Programming languages (3)
Github contributions (5)
aaronlws95/aaronlws95.github.io
Jul 2018 - Aug 2024
Contributions:42 pushes, 2 branches in 6 years 2 months
aaronlws95/gan-depth-to-rgb
May 2018 - Oct 2019
Contributions:3 commits, 4 pushes, 1 branch in 1 year 4 months
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