Neil聽Tan
On-Device AI Research at uTensor
San Jose, California, United States
Summary
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Rockstar馃帗
Top SchoolNeil Tan is an on-device AI researcher and embedded systems engineer with 10 years of experience building efficient ML for constrained hardware, currently based in San Jose. He authored uTensor and led Google SIG:Micro initiatives, blending hardware-aware AutoML, TinyML inference, and low-power deployment expertise to bring generative and foundation models onto microcontrollers. Previously a tech lead and evangelist at Arm, he grew IoT communities across APAC while driving GPU compute research in C++/OpenCL and product-focused feasibility studies. Trained as an electrical engineer with an MSc in photonics, Neil combines applied research skills with hands-on firmware and tooling work鈥攅vident in commits improving IDX-format tensor import for the popular uTensor repo. He also pioneers multimodal on-device projects such as 3D scene reconstruction with sound and Wi鈥慒i human activity monitoring, showing a knack for bridging sensors, signal processing, and neural models.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Applied Science Electrical Eng Project Integrated Program Nanotechnology & Microsystems, Bachelor of Applied Science Electrical Eng Project Integrated Program Nanotechnology & Microsystems at The University of British ColumbiaFraser HeightsMSc by Research Photonics, MSc by Research Photonics at University of Bristol
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
tensor10
sys10
cprogramming-language9
c-language9
embedded9
microcontroller8
tensorflow8
machine-learning7
deep-learning7
Programming languages (6)
Github contributions (5)
uTensor/uTensor
Aug 2017 - May 2021
TinyML AI inference library
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:2 releases, 5 reviews, 388 commits in 3 years 9 months
Contributions summary:Neil's commits primarily involve the implementation and modification of code related to a machine learning inference library, `utensor/utensor`, specifically focusing on importing tensor data. They worked on code improvements and refactoring to import tensor data using the IDX file format. The commits involve changes to several header and source files that are part of the tensor importing process.
pytorchiot-middlewareedge-computingdeep-learningtinyml
uTensor/utensor-helloworld
Feb 2018 - Aug 2020
Contributions:2 reviews, 51 commits, 3 PRs in 2 years 6 months
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