Sanctuary AI

March 2024 - Present

I am currently working at Sanctuary AI as a Junior DataOps Engineer.

Sanctuary AI

Summer 2022 Summer 2023

I worked at Sanctuary AI as a Software Co-op on the Machine Learning team. Summer 2022 I worked on object grasping and manipulation using a multi-fingered robotic hand. I implemented a pipeline that would generate and evaluate possible grasps for known objects. Summer 2023 I designed and developed a real-world SLAM data collection and annotation pipeline.

Robot Vision and Learning Lab

Summer 2021 Spring 2023

I was a research assistant intern at the RVL Lab supervised by Florian Shkurti. We worked on stochastic planning for autonomous surface vessel (ASV) navigation using satelite images. I helped design a software stack that supported communication between ROS, the web front-end visualization, and the Gazebo simulation or real-world.

University of Toronto

January 2021 - May 2023

I was a Teaching Assistant at the Department of Computer Science at the University of Toronto. I have helped teach the courses CSC207H1: Software Design and CSC209H1: Software Tools and Systems Programming. My responsibilities include hosting weekly labs for students, grading, providing the instructor with feedback on course material and student evaluations.

Vehicle Detection and Motion Forecasting

[Final Project], University of Toronto, CSC498: Making Your Self-driving Car Perceive the World. With C. Zhang.

Models for vehicle detection and motion forecasting on the PandaSet dataset. Implemented preprocessing by creating BEV voxelized images from LiDAR data. Developed a heat-map object detection model using focal loss and anisotropic gaussians. Built a model that predicts a parametric distribution over future trajectories.

Hand Drawing Generative Model

[Personal Project]

PyTorch implementation of the cDCGAN for Google’s ‘Quick, Draw!’ dataset. Tested various model architectures for better results. Implemented techniques such as label noise and instance noise for a more stable model. Visualized results and training data over time to better tune model hyperparameters.

Evaluation of Sound Enhancing GANs

[Final Project], University of Toronto, CSC413: Neural Networks and Deep Learning. With S. Das and P. Bajaria

Wrote a mock NeurIPS paper as a final group project. The project focused on using the GAN architecture for audio synthesis. For this paper, my group and I examined the performance of the vanilla Speech Enhancement GAN against variations that include the Departure From Normality (DFN) metric and Wasserstein loss (WSEGAN).

Hiking

While working at Sanctuary AI in Vancouver I have fallen absolutely in love with hiking. I am always looking for new trails and people to go hiking with so please reach out!

Running

Running has been a big part of my life for about the past 8 years. I am currently training for the upcoming Toronto Waterfront Marathon race in October.

Photography

I have recently picked up photography. Specifically I combine photography with urban exploration. You can find my work on instagram. I use the Canon EOS Rebel T7 camera.