Aron Lin
Chief Process Engineer at SNO1
Hongkou District, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolAron Lin is a Chief Process Engineer with eight years in the nuclear power sector, specializing in manufacturing processes for reactor internals and leading AP1000 domesticization efforts. He has steered multiple bid-winning technical proposals, led ASME certification teams, and managed process, BOM and SAP integration across numerous critical-component projects. Comfortable both on the shop floor and in client negotiations, he combines deep familiarity with ASME and RCC-M standards, non-destructive testing, and QA systems with hands-on ERP/SAP expertise. Fluent in English and experienced living and working in the U.S., he also contributes to open-source ML tooling—helping extend mmdetection with fp16-dcn and ONNX export support—demonstrating a rare blend of heavy-industry process leadership and practical software/ML collaboration. Creative and solution-oriented, he repeatedly translates complex regulatory and manufacturing requirements into auditable, deliverable processes.
8 years of coding experience
北虹高级中学工学士, 机电一体化, 工学士, 机电一体化 at 上海大学
Chinese
Github Skills (6)
object-detection10
computer-vision10
pytorch10
machine-learning10
instance-segmentation10
onnx10
Programming languages (3)
Github contributions (5)
open-mmlab/mmdetection
May 2021 - Feb 2022
OpenMMLab Detection Toolbox and Benchmark
Role in this project:
ML Engineer
ML EngineerContributions:166 reviews, 40 commits, 41 PRs in 9 months
Contributions summary:Aron contributed to the release of new fp16-dcn models, specifically for mask-rcnn DCN/DCNv2 architectures, including updating the documentation. The user implemented support for exporting PointRend models to ONNX format, addressing code style and potential bug fixes. Additionally, the user enabled support for classwise evaluation in the CocoPanopticDataset and integrated the file_client for datasets.
retinanetbenchmarkfast-rcnnopenmmlabsemisupervised-learning
AronLin/mmdetection
May 2021 - Mar 2022
OpenMMLab Detection Toolbox and Benchmark
Contributions:272 pushes, 91 branches in 10 months
pytorchdeep-learningtoolboxobject-detectionbenchmark
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