Kenneth Tang
Software Engineer at ASMPT Ltd
New Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolKenneth Tang is a software engineer with 8 years of experience building production AI systems, embedded inference pipelines, and high-concurrency applications across Python, C++, and C#. Currently at ASMPT he designs LLM-based services, distributed task schedulers, and RL-driven production optimizations that doubled inference throughput and improved line scheduling. He has a strong systems background from embedded edge work (Nvidia Jetson) to backend architectures and contributed performance-focused refactors to the TorchSharp .NET bindings for tensor extraction. Comfortable across ML, quantitative analysis, and networked systems, he combines pragmatic engineering with a habit of introducing new tools and testing practices to raise team quality. Based in New Taipei, he holds an IT master’s from Taipei Tech and brings both research and hands-on production experience to complex, cross-disciplinary challenges.
8 years of coding experience
4 years of employment as a software developer
學士, Information Technology, 學士, Information Technology at 國立雲林科技大學碩士, Information Technology, 碩士, Information Technology at 國立臺北科技大學
Chinese
Github Skills (7)
net10
asp-net10
libtorch10
dotnet10
csharp10
dotnet-core10
unit-testing9
Programming languages (12)
Github contributions (5)
dotnet/TorchSharp
Dec 2022 - Jan 2023
A .NET library that provides access to the library that powers PyTorch.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:56 reviews, 8 commits, 13 PRs in 1 month
Contributions summary:Kenneth primarily focused on refactoring and optimizing the `ToNDArray` method within the `TorchSharp` library. Their contributions involved removing dimension limits and improving the performance of tensor data extraction. They also added unit tests to validate the `ToNDArray` functionality and integrated changes from other branches. This work demonstrates a strong understanding of tensor manipulation and .NET programming.
pytorchnet-librarydotnetpythonpowers
NTUT-SELab/stable-baselines
Sep 2019 - Aug 2022
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Contributions:83 commits, 53 PRs, 161 pushes in 2 years 11 months
implementationsreinforcement-learning-algorithmsreinforcement-learningdeep-reinforcement-learninglearning-algorithms
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