Robotics and Machine Learning Software Co-op

Nexera Robotics Ltd.

• Designed a PyTorch based machine learning model to classify 3D structures in point clouds captured during robotic bin-picking; the model used point-wise clusterings of estimated surface normals from a K-D tree based radius search of nearby points
• Implemented a PyQt desktop application that tests and visualizes predictions for how to move a robotic arm during bin picking. Enabled engineers to select computer vision data from sensors and define the running order, inputs, and outputs of machine learning models
• Conducted exploratory analysis of time series data from robot end-effector control signals with Python and Pandas
• Authored a Python package using PyTorch utilities for comparing segmentation masks from computer vision models with ground-truth annotations. Calculates intersection over union scores and confusion matrices
• Manually annotated segmentation masks for 3D surface features in image captures of retail objects in bins using CVAT

Full-stack Software Developer Co-op

DEITA Technologies Ltd.

• Developed analytics dashboards with React and Redux, enabling real-time DEI data visualization and benchmarking
• Redesigned a PostgreSQL database with Django ORM (Python-based), and wrote SQL to inspect the data
• Implemented session token-based authentication to ensure secure access to user-specific database records
• Delegated work using agile methodology; tracked progress with Jira and Trello. Reported thoroughly in daily standup

Esophageal Diseases Researcher in Bioinformatics

University of British Columbia

• Won an NSERC undergraduate student research award ($6000)
• Created Bash scripts to remotely configure and run jobs on a Linux high-performance computing cluster
• Wrote Jupyter notebooks in Python to create datascience workflows for single-cell RNA sequencing data

Laboratory Research Associate Co-op

YouCount Inc.

• Wrote Python code to extract data from medical devices into Excel spreadsheets
• Planned experiments and optimized experiment parameters
• Researched and developed device testing procedures
• Prepared SOPs, lab reports, and other technical documentation
• Presented data analysis findings in meetings

2^nd B.Sc. in Computer Science

University of British Columbia

A average (88%)

B.Sc. in Biochemistry

University of Victoria

A average (86%) for last two years

LeetCode Legends

Founder

• Put together and lead technical interview preparation workshops twice a week for over 100 unique UBC students
• Created comprehensive web based learning materials and tutorials to guide students through concepts

Bioinformatics Research Experience

Dr. Chris Upton

• Analyzing poxvirus genomes to find gene homology

Doctor’s Assistant

ISHS

• Handling clinical samples, guiding patients