JOSHUA TING

climate – data – photography


PORTFOLIO.

WORK 01

Satellite Imagery Segmentation with Convolutional Neural Networks

Predicting land cover types using remote sensing data with computer vision. Used Convolutional Neural Networks to segment satellite imagery into different land type classes.

Photo by SpaceX on Pexels.com

WORK 02

AI Plays Ms. Pac-Man

Trained a reinforcement learning agent to play the Atari 2600 game of Ms. Pac-Man. Used a Dueling DQN architecture to confirm scientific research performance and results. Built a web-app to live stream gameplay in real-time.

Photo by Kevin Bidwell on Pexels.com

WORK 03

Woby’s Spooky Tales

Human-machine interactive storytelling engine fine tuned for scary/horror stories. Trained with GPT architecture variants on custom corpus sourced from Reddit for the downstream task of text generation. Integrated final model into a chatbot (Woby) front end for human-machine interface.

Photo by Clem Onojeghuo on Pexels.com

WORK 04

Lunar Landscape Image Segmentation

Using custom U-Net to compare against several pre-trained backbone U-Net architectures to segment images of lunar landscapes into various classes.

Photo by ThisIsEngineering on Pexels.com