Aron Lin
Chief Process Engineer at SNO1
Hongkou District, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolAron Lin is a Chief Process Engineer in Shanghai with seven years of focused experience in nuclear power manufacturing and process engineering. He led first-of-kind domestic manufacturing for AP1000 in-core components, drove ASME N/NPT certification efforts and supplier audits, and has a track record of delivering factory acceptance and successful project bids. Proficient in SAP/ERP, BOM management, CAD and quality planning, he is familiar with ASME and RCC-M codes as well as non-destructive testing practices and has lived and worked independently in the US. Unusually for a senior process engineer, he also contributes to open-source ML tooling—helping extend OpenMMLab/mmdetection with ONNX export and fp16-dcn model support—demonstrating a cross-disciplinary, hands-on engineering mindset. Innovative, detail-oriented and resilient under pressure, he pairs practical manufacturing leadership with a strong appetite for continual skill growth.
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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