Cutting-Edge AI Developer

Pensees Systems Singapore

Working with the state-of-the art latent diffusion models, innovating towards the next generation of mobile models:

• Optimiztaion and development of Stable Diffusion on native iOS devices, optimized with Apple CoreML
• Investigation of memory and computational optimizations of large latent diffusion models

Machine Learning Research Assistant

TRIUMF

Returning to TRIUMF, I helped explore the use of Bayesian Optimization for optimizing tune of particle accelerator. The results were immensely succesfull and we accomplished:

• Bayesian Optimiztion to improve tuning speeds by 2400% (from 4 hours down to just 10 minutes)
• Optimization and modeling of complex systems using Gaussian Process

Captain

UBC AgroBot Engineering Design Team

Working closely with passionate peers on this student-led engineering design team, I led our team as captain to:

• Integrate onboard mechanical, electrical, and software systems for autononous farming robot
• Mange a team of 60+ students using Agile methodology
• Bring our robot in our first ever competition at the 2023 METRIC ACRE campaign in Italy!

Machine Learning Engineer

Yakoa.io

Working with a wonderful start-up team taught me incredible hands-on skills in the application of machine learning, and I learned a ton in the process of data preparation, and deployment of ML architecture towards real world applications. These inclue:

• Semantic segmentation on images to improve NFT fraud detection accuracy.
• Deploying self-supervised learning and vision transformer models on AWS cloud.
• Statistical analysis of the latent embedding space for 8 million images.

Junior Machine Learning Engineer

TRIUMF

My time at the TRIUMF facility helped me grow my skills in software, research, and AI. Some of my notable acheivements:

• Designed simulations to simulate complex beamline physics
• Policy gradient reinforcement learning with the integration of LSTMs for a partially observed environment
• First author of paper at NeurIPS 2021 Workshop.
• Object-oriented architecture design, multi-threaded training pipelines, distributed training across multiple GPUs
• GUI user interface via Python Tkinter
• Real-time data transfer and optimization through Experimental Physics and Industrial Control System (EPICS)

AI Research Intern

Huawei

• Improving data-preprocessing speeds for image datasets through designing custom Python and bash scripts
• Designing Docker environments to allow model training on cloud GPU clusters
• Finetuning deep-learning models for image classification and object detection both in Tensorflow and PyTorch

Teaching Assistant

UBC PHYS 158

• Teaching assistant for 1st year Physics for Engineering Course
• Prepared and led weekly tutorials to teach the concepts of electro-magnetism, circuits, and wave propagation

Teaching Assistant

UBC ENPH 353

• Teaching assistant for 3rd year Machine Learning Project Course
• Guided student projects and taught concepts in computer vision, robotics control, and deep learning

Teaching Assistant

UBC PHYS 159

• Guided student through Laboratory physics experiments including concepts in resistors, capacitors, and arduinos
• Prepared tutorials to teach data collection and analysis techniques

Electrical Subteam Member

UBC Formula Electric Design Team

Designed a Reflow Oven and designed PCB boards for the Brake Light Module for the competition vehicle.