Dickson Neoh
Machine Learning Developer & Developer Relations Lead
Kuala Lumpur, Malaysia
Summary
🤩
Rockstar🎓
Top SchoolDickson Neoh is a machine learning developer and Developer Relations lead with 11 years of experience combining deep academic research and hands-on ML engineering, holding a PhD in Electrical & Electronics Engineering focused on deep learning for Li-ion EV batteries. He specializes in computer vision and time-series modeling with Transformers, CNNs and RNNs, and has a track record of publishing in top venues like Nature and IEEE Transactions. Dickson has helped companies design and deploy end-to-end deep learning solutions to production, contributed to notable open-source projects such as icevision (integrating YOLO, Deformable DETR and Swin backbones) and tsai (Optuna hyperparameter tuning), and routinely ships models to edge devices from Raspberry Pi to NVIDIA Jetson. Fluent in multiple languages and experienced in developer advocacy, he blends technical depth with clear communication to non-technical stakeholders. He also brings a somewhat unusual mix of soft-skill training—NLP and EFT tapping—that informs his developer relations and teaching style.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Universiti Tenaga Nasional
English, Malay, Chinese, Korean
Github Skills (23)
notebook10
pytorch10
hugo-theme10
system-configuration10
python10
css10
machine-learning10
time-series10
hyperparameter-optimization10
fastai10
deeplearning-ai10
custom-configuration10
deep-learning10
html10
swin-transformer10
Programming languages (8)
Github contributions (5)
StaticMania/portio-hugo
Jan 2022 - Feb 2022
Portio Hugo is a simple, minimal and responsive Portfolio Hugo Theme. Portio Hugo is well organized, well-formatted, and named accordingly so it’s easy to change any and all of the design. Portio is built with Bootstrap 4. You can customize it very easily to fit your needs.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:18 commits, 2 PRs, 13 comments in 1 month
Contributions summary:Dickson primarily contributed to the theme's UI and layout, focusing on blog and content presentation. They added table of contents functionality, reading time indicators, and implemented tag and category display features. Additionally, the user corrected typos and updated the layout and image handling across the theme, indicating a focus on improving the user's experience with the Hugo theme.
hugoresponsive-portfoliobootstrap-4fitcustomize
airctic/icevision
Jan 2022 - Jun 2022
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
Role in this project:ML Engineer
ML EngineerContributions:7 reviews, 20 commits, 27 PRs in 5 months
Contributions summary:Dickson contributed to the `airctic/icevision` repository, a computer vision framework, by adding and configuring YOLO and Deformable DETR models from the mmdet library. Their work involved modifying the getting started notebooks to include model selection, parsing annotations, and integrating these models within the framework for object detection tasks. Furthermore, the user implemented Swin Transformer backbones for several object detection models, showcasing an ability to integrate and experiment with state-of-the-art models.
voc-parservision-frameworkpythonagnostictraining
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