Machine Learning Engineer (Full-Time)

StratumAI (September 2023 - Present)

Machine Learning Intern

Epson Canada (May 2022 - August 2022)

• Explored research directions for smart golf coaching, focusing on form analysis and feedback
• Implemented Mediapipe Blazepose for pose estimation, Detectron2 for ball/club detection on custom COCO datasets
• Developed automatic event segmentation and feedback, comparing to professional golfers

Machine Learning for Integrated Circuit Design Intern

Huawei Technologies Canada Co, Ltd (May 2021 - May 2022)

• Automated ML Pipeline with Reinforcement Learning (DQN) and Bayesian Optimization to create novel shaped coupled VCO inductors, improving Quality Factor by 7% using PyTorch and Shell Scripting
• Developed a T-Coil inductor generation tool with center tap and Cadence EMX simulations using Jupyter and SKILL
• Led weekly meetings with senior circuit designers to demonstrate tools and update documentation

Image Processing Engineer Intern

A.U.G. Signals Ltd. (May 2020 - August 2020)

• Analyzed, documented, and created armed vehicle and vessel HDF5 datasets from Synthetic Aperture Radar (SAR) data
• Refactored company's classification system for compatibility with deep learning toolboxes and algorithms using MATLAB
• Preprocessed raw SAR data (Rotate, FFT, PCA) and achieved 98% accuracy in 8-class classification

Python Developer Intern

Movia (Jun 2019 - August 2019)

• Created python scripts that mitigated data corruption on company device via clean shutdown procedures on Gitlab
• Tested device image on Linux OS and created GPS tracking and Wifi scanning scripts utilizing Bettercap (Go)

BASc. in Engineering Science - Machine Intelligence Specialization

University of Toronto (2018-2023)

• Biomed: Molecules and Materials, Fundamentals of Biomedical Engineering, Neural Bioelectricity, Biomedical Imaging
• Machine Learning: Neural Nets and Deep Learning, Artificial Intelligence, Optimization in ML, Decision Support Systems
• Mathematics: Data Structures and Algorithms, Matrix Algebra and Optimization, Ordinary Differential Equations, Digital Signal Processing, Probability and Statistics, Calculus I-III
• Physics: Classical Mechanics, Fluid Mechanics, Thermodynamics, Waves and Modern Physics, Electricity and Magnetism, Quantum and Thermal Physics
• Systems: Systems Software, Distributed Systems, Intro to Databases, Software Engineering

Production Engineering Fellow

Major League Hacking w/ Meta (Jun 2022 - Aug 2022)

• Developed an open-source personal portfolio website template using Python, Flask, Jinja, MySQL, Nginx, and unittest
• Automated testing and deployment workflows using CI/CD with Github Actions
• Established system and container monitoring, alerting, and visualization using Prometheus and Grafana