Hi, I'm Chee Yeo

I am a software developer / writer with prior commercial experience working from startups through to corporations.

My background is in computer science and I have been specializing in software development for the past 16 years.

In 2019, I decided to take the plunge and retrain in the fields of Machine Learning, Cloud Engineering and DevOps.

Since 2024, I am a certified AWS solutions architect professional: https://www.credly.com/badges/90284ec4-aa24-4fb9-8b43-c6f7437be1e7/public_url

I write about my own research and development work at my personal blog: https://cheeyeo.dev

My professional profile can be found at https://uk.linkedin.com/in/cheeyeo

I am also trying to create open source software for data science / ML workflows and have created an organization to publish some of this work: https://github.com/orgs/m1l0ai

Below are some examples of my portfolio work:

ML

• Sam-MED2D

• UNet for semantic segmentation

• PSPNet for semantic segmentation

• Self Attention GAN Example

• WGAN Example

• DCGAN Example

• Transfer Learning - Training Faster-RCNN using TFOD

• TFOD Toolkit

• Transfer Learning - Fine Tuning example

• Transfer Learning - Feature Extraction example

• Computer Vision - Facial Recognition example

• Computer Vision - Autoencoder example

• NLP - Language Translation with Attention

• Collection of Jupyter Notebooks from learning (old)

DevOps & Cloud examples

• AWS Lambda Web application with Terraform

• AWS CDN Private S3 Origin-Access-Control Terraform example

• AWS S3 pipe utility

• OpenCV dockerhub container

• Tensorflow Serving example

• Deploying MXNet model for inference on AWS Lambda

• Deploying gRPC on ALB

• Docker Image builder pipeline component

• INotify S3 container

MLOPS examples

• Docker Image builder pipeline component