Victor Kiat
Senior Deposition Engineer at HOYA Electronics
Singapore
Summary
🤩
Rockstar🎓
Top SchoolVictor Kiat is a Senior Deposition Engineer based in Singapore with 7 years’ experience driving semiconductor process improvements from EUV deposition to lithography back-end. He has led cross-functional NPI and cost-reduction projects at HOYA and GlobalFoundries, delivering measurable yield gains and a half‑million-dollar annual chemical cost saving from photoresist qualification. Comfortable bridging R&D and manufacturing, he builds automation and analytics (Power BI, VBA, machine-to-server pipelines) to turn shop-floor data into actionable feedback loops and AI-assisted parameter tuning. A pragmatic mentor and project driver, he has reduced hotspot rates dramatically and trained engineers on tool troubleshooting and analytics. Unusually for a fabrication engineer, he contributes to ML infrastructure projects on GitHub, reflecting a growing blend of semiconductor process expertise and applied machine learning interest.
7 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Biomedical/Medical Engineering, Bachelor's degree, Biomedical/Medical Engineering at National University of Singapore
Github Skills (10)
cuda10
pytorch10
deep-learning10
code-formatting10
parallelization9
ai9
data-parallelism9
data-parallel9
distributed-computing8
python8
Programming languages (1)
Github contributions (5)
hpcaitech/ColossalAI
Mar 2022 - Nov 2022
Making large AI models cheaper, faster and more accessible
Role in this project:
ML Engineer
ML EngineerContributions:7 commits, 8 PRs in 8 months
Contributions summary:Victor's commits primarily involve code style improvements and format fixes within the `colossalai` repository, a project focused on large AI models. Their contributions include refactoring and code style adjustments in various files, notably related to CUDA kernels, GradScaler, and utility functions. Additionally, the user updated test files to align with the defined code style.
heterogeneous-trainingcolossal-aifinetuningdeep-learninginference
kaiwang960112/Self-Cure-Network
Feb 2020 - Apr 2022
This is a novel and easy method for annotation uncertainties.
Contributions:41 commits, 3 PRs, 40 pushes in 2 years 2 months
methodannotationuncertainties
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