About
I'm an awkward blend between full-stack and deep learning. Born to descend the gradient, forced to POST /upload type of blend. I've had the privilege of working in industry & research for deep learning, creating my own (failed) AI startup, and knowing too much about networks for my own good. Currently working on Infra @ Athelas. Originally from Toronto but living in Mountain View right now :)
When I'm not at my computer, I'm usually olympic weightlifting, playing chess, rubbing my cats' bellies, or browsing through cat memes :3
Experience
2024 — NOW
Software Engineer • Athelas
2024 — NOW
· Infrastructure.
2023 — 2024
Software Engineer • BlueCat
2023 — 2024
· Created an internal tool that anonymizes customer databases for testing ensuring customer data remains private.
· Helped implement a DDNS update distribution service, enhancing system reliability by efficiently distributing updates across a cluster of DNS/DHCP servers.
· Implemented database triggers to automate table partition creation, mitigating database size growth.
2021 — 2022
Machine Learning Research Assistant • TMU
2021 — 2022
· Innovated a novel image compression ML algorithm for gigapixel image classification, achieving 96.39% accuracy. Submitted the research paper for publication at the ImNO conference.
2021 — 2021
Software Engineer Intern • BlueCat
2021 — 2021
· Assistend in implementing TLS encryption between the communication channels of DNS and DHCP servers.
· Maintained a minimal tech debt by contributing to 10+ automation tests and fixed 20+ bugs.
2020 — 2021
Research Assistant • TMU
2020 — 2021
· Implemented and tested various deep-learning speech recognition algorithms for single-switch users increasing accessibility for those with disabilities.
· Created a POC mobile application and presented it successfully to stakeholders for further development of the technology.
2020 — 2020
Software Developer Intern • Ontario Ministry of Transportation
2020 — 2020
· Developed machine learning models for internal highway detection, vehicle tracking, and lane detection.
· Presented the roadmap to multiple govt. stakeholders for further investments.
· Improved real-time performance by 775% allowing for real-time inference from 4 streams on a single GPU.
2019 — 2020
Research Assistant • TMU
2019 — 2020
· Created a school management system that supports video calls.
· Communicated regularly with stakeholders and implemented their needs iteratively.
Projects
Thia AI
· Created a desktop-native AutoML application, streamlining ML training for enhanced accessibility and reduced costs.
· Architected a comprehensive, multi-tier system comprising an Electron and React UI platform, a Python-based ML system with TensorFlow and Flask, and a Nest.js, Prisma, and MongoDB back-end server.
· Integrated OAuth for authentication, authorization, and payment APIs, along with quota APIs for efficient usage management and controlled user access.
Portfolio
· I made this website! It's cool isn't it??