Tyrion Huang
Software Engineer at ByteDance
Shanghai, Shanghai, China
Summary
👤
Senior🎓
Top SchoolTyrion Huang is a software engineer with 11 years of experience building cloud-native and data-driven back-end systems, currently contributing at ByteDance in Shanghai. Trained in applied mathematics and image processing at top French institutions, he moved from R&D and cloud roles into big data engineering at McDonald’s China and now backend and MLOps work at scale. He has startup tech-lead experience launching a social app from zero, is achievement-oriented and independent, yet thrives in English-speaking professional environments. An active contributor to Kubeflow trainer infrastructure, he focuses on maintainability, Kubernetes integration and operational improvements—skills that bridge ML workflows and production reliability.
11 years of coding experience
9 years of employment as a software developer
Free Code CampEngineer's Degree, Image Processing, GPA 3.26, Engineer's Degree, Image Processing, GPA 3.26 at Ecole nationale supérieure des TélécommunicationsPreparatory class, Mathematics, Physics, Grade A+, Preparatory class, Mathematics, Physics, Grade A+ at Lycée Louis-le-GrandOlympic mathematics class, Olympic mathematics class at Shanghai High SchoolMaster's Degree, Applied Mathematics, Grade A, Master's Degree, Applied Mathematics, Grade A at Ecole normale supérieureAthens Exchange Program, Image Processing, Grade A+, Athens Exchange Program, Image Processing, Grade A+ at Universidad Politécnica de Madrid
English, French, Chinese, Japanese
Stackoverflow
31reputation
726reached
1answer
0questions
Github Skills (12)
kubernetes10
machine-learning10
go10
kubernetes-pods10
devops9
python9
distribute9
mlops9
kubeflow8
tensorflow7
fine-tuning7
clickhouse6
Programming languages (4)
Github contributions (5)
kubeflow/trainer
Nov 2017 - Nov 2017
Distributed ML Training and Fine-Tuning on Kubernetes
Role in this project:
MLOps Engineer
MLOps EngineerContributions:6 commits, 11 PRs, 10 comments in 4 days
Contributions summary:Tyrion primarily contributed to the project's infrastructure and operational aspects by modifying configurations and file structures. Their work involved refactoring code, renaming variables, and adjusting job names, indicating a focus on improving maintainability and consistency. They also implemented changes related to Kubernetes configuration and client interactions, including modifying the use of `kubeconfig` and implementing client functions, demonstrating an understanding of deployment and integration. These changes contributed to better usability and organization of the project.
xgboostkubernetesmachine-learningtrainingai
infinivision/edge-tracker
May 2018 - Mar 2019
Contributions:98 commits, 60 pushes, 6 branches in 10 months
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