Experience
My professional journey across startups, enterprise, and research.
Sparse Transformer Research Developer
UofT Machine Intelligence Student Team (UTMIST)
Research Collective at the University of Toronto
Jan 2026 - Present
- •Building "Bigger Bird", a PyTorch sparse-attention router with diversity-aware local top-k and submodular global token routing.
- •Driving the attention pattern cost down from O(n^2) to O(n) while porting the gains into Triton NVIDIA kernels and FlashAttention-style optimizations.
- •Prototyping discrete routing (MMR, facility-location / p-median objectives, positional priors) to boost throughput and latency across long-context workloads.
Software Engineer Co-op
WOLF Advanced Technology
GPU for aerospace and defence, US DoD
May - Dec 2025 (8M)
- •Reporting to CTO, using Blazor, C#, ASP.NET Core, Windows Server, IIS, built a web app for internal tools, with data worth 18GB per day.
- •Refactored a 26-year-old VB6-based RMA with a new Blazor stack. Worked on NCR, CIS, QIR and gap pad validation tool.
- •RCCA critical website crash bug in the 2nd week of work.
- •Worked with C++ and Python for firmware and autonomous self-driving JetTank.
QE Full-stack Engineer Co-op
Softchoice Corp.
IT Solution to MS, Google, AWS, CISCO
May - Dec 2024 (8M)
- •Built a web app for test leads to schedule, manage tests with CRUD tabular data, results linked with DevOps API, reports, notifications, charts, and permission management.
- •Pitched the project to migrate from React, SPFx to Nuxt/Vue.js and .NET, C#, NUnit to Maven, Cucumber, JUnit.
- •Set up MS web hosting, SQL server, 2 VMs, Azure YAML pipelines, and SharePoint API. Involved Nuxt.js, SQL, MSAL, JWS, Azure DevOps, and around 50 API endpoints.
- •Developed test scripts in Java with Selenium.
Research Software Developer
UofT - Division of VP, Research & Innovation
University of Toronto
Sep 2024 - Apr 2025 (8M)
- •Used Python, C and Azure SQL Server/DB to generate statistics, and perform big data analysis for the UTQAP project.
- •Developed scripts to support research data for Tableau dashboards and DiscoverResearch.
Automation Developer
University of Toronto - Division of Student Life
University of Toronto
Sep 2023 - 2024 (1Y)
- •Using Python, Tableau, MS 365, CLNx and Folio, Excel, managed DBs, listservs, postings, and club reviews.
- •12.93% of total students participated in CCR. Increased CCR participants by 4~10%.
Quant Trading Firm Founder
AlphaStone
Private Quantitative Hedge Fund Trading Firm
Jun 2021 - Present (4Y)
- •From 6 investors, managing $60K+ assets under management. Profiting $2000~4000 per month.
- •Built full stack using Python, C, Express.js, MySQL, Next.js, Prisma, TS, and tRPC (now Nuxt.js, Vue.js, PostgreSQL).
Featured Projects
Projects where I led or significantly contributed.
Aircraft Studio
At Hack the North, won 1st place as solo for mobile web designing 3D aircraft in seconds, simulating against enemy jets in AR.
View ProjectMagic Quill
A magical, omnipotent note-taking tool for students everywhere. Won 2nd place at York's largest hackathon, CTRL+HACK+DEL.
View Project
TrashCam
Gamify waste management with real-time object recognition and make eco-friendly choices fun and easy! Won sustainability theme at UTSC Hack the Valley 9.
View ProjectMindAssist
Built an EEG-controlled robotic arm at Stanford TreeHacks to help people with mobility challenges eat hands-free. Decoded brain signals via Bluetooth to trigger a 5-DOF arm with computer vision for automatic feeding. First hardware hack with a team of 2 Stanford + 2 UofT.
View ProjectJARVIS
Ranked in the top 10. JARVIS brings a productive speech-to-anything AR experience to deliver visuals in the surrounding space and process video. It has agentic capabilities—it can order food! No glasses needed—just browser.
View ProjectForecastAI
As a team lead, coordinated a team of 7 to develop Forecast AI, project of ML Group, Department of CS, UofT. Supervised by Stanford and UofT researchers, Yuchen and Huang.
View Project
AlphaStone
Led a 6-member team with $60K+ AUM. Achieved 2x market benchmark, 467.94% backtesting (2020-present), Sharp Ratio of 4.03, and Batting Avg of 57.85%.
View Project
More Projects
Explore more of my work. For even more projects, check out my GitHub.
Skills
Technologies I've used across professional work, research, and personal projects.
Programming Languages
Java
C#
C
C++
Python
GolangMIPS Assembly
RTuringFrameworks & Web Dev
React/Next.js
Nuxt/Vue.js
.NET
Express/Node.js
NestJS
Angular
TS/JStRPC
Flask
DjangoREST
Apollo/GraphQL
TailwindCSS
BootstrapTelerik
AWS
Docker
DevOps
FirebaseRailwayDatabases
PostgreSQL
MySQLNoSQL
SQLite
MongoDB
SupabaseEdgeDBEducation
University of Toronto
St. George Campus
Honours Bachelor of Science in Computer Science
Focus: Artificial Intelligence
2022 - 2027 (Expected)
About
Hi. I'm Thomas. I am a 4th-year Computer Science student at the University of Toronto St. George campus. I'm obsessed with neuroscience (mainly neocortex), quantitative trading (to support my future startup & research), and neuroscience-inspired AI.
I was born in Korea. My interest in computers sparked when I immigrated to Canada in 2014. What started as a fun hobby playing Minecraft with friends quickly turned into developing an RPG server with a community of over 200 members on Discord and running YouTube.
During this time, I managed a team of seven developers. This experience fueled my passion for programming, and I began learning Unity game development. During this elementary to high school period, I learned Java, C#, Turing, HTML, CSS, JS, and Python.
After enrolling at the University of Toronto, I've gained more experience with full-stack web development and machine learning from work, research, hackathons, and side projects. Now, I can code very well with Python, JS/TS, C#, Java, and C/C++.
I've now done 4 paid work terms, won 3 hackathons, and run a side project/startup. You can explore some of my work in the projects section.
I'm very active on X/Twitter to share my thoughts on AI, so feel free to follow me there.