Jiasen Wu
Senior Research HPC Engineer at DeepL
Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolJiasen Wu is a Senior Research HPC Engineer with 15 years of experience architecting high-performance and machine learning systems across enterprise and startup environments in Germany. He blends deep expertise in operating systems, programming languages, and software engineering with practical AI work—having built experiment schedulers, artifact trackers, and end-to-end DL training and deployment frameworks. His career spans IBM mainframe runtime development to accelerating AI performance at ParTec and DeepL, showing a rare combination of low-level systems insight and applied ML engineering. Based in Bavaria, he pursues AI from both logical and machine-learning perspectives, often focusing on tooling and automation to avoid common deployment pitfalls. Colleagues benefit from his thoughtful, research-driven approach that turns complex performance needs into reliable production solutions.
15 years of coding experience
14 years of employment as a software developer
Master's Degree, Computer Science and Technology, Master's Degree, Computer Science and Technology at Nanjing University
English, German, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (55)
trajectory-generation9
dynamics9
parser8
hessian8
robotics-simulation8
julia8
python8
motion-planning8
transformer-models8
mxnet8
robotics8
dataflow7
kinematics7
lexer7
transformers7
Programming languages (7)
Github contributions (5)
pierric/fei-datasets
Jan 2020 - Apr 2021
Contributions:1 release, 10 PRs, 25 pushes in 1 year 3 months
pierric/fei-nn
Feb 2018 - Jul 2022
High level APIs for leaveraging neural networks with MXNet in Haskell
Contributions:1 release, 176 commits, 34 PRs in 4 years 6 months
haskellmxnetneural-network
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