Thomas Lee

Thomas Lee

Machine Learning. Quantitative Trading. Neocortex.

3x Hackathon Winner 🏆 • Running a Quant Firm

4,153 GitHub Commits

Experience

My professional journey across startups, enterprise, and research.

WOLF Advanced Technology

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.
Offered Return
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Softchoice Corp.

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.
Offered Return
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UofT - Division of VP, Research & Innovation

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.
Offered Return
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University of Toronto - Division of Student Life

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%.
Offered Return
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AlphaStone

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.

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🏆 1st Place

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.

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🏆 2nd Place

Magic Quill

A magical, omnipotent note-taking tool for students everywhere. Won 2nd place at York's largest hackathon, CTRL+HACK+DEL.

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Magic Quill
🏆 Winner

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.

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Top 10

JARVIS

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.

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🔬 Research

ForecastAI

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.

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ForecastAI
🚀 Startup

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%.

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AlphaStone

More Projects

Explore more of my work. For even more projects, check out my GitHub.

AI Food Guesser

AI Food Guesser

CSC311 Final Project. Trained 5 ML models (MLP, Decision Tree w/ AdaBoost, Naive Bayes, GDA, Softmax) using bag-of-words, one-hot encoding, and 5-fold cross-validation. Final Multinomial Naive Bayes model achieved 88.48% accuracy on food classification.

Infinite Context

GenAI Genesis 2025 hackathon at UTSG. Elevate LLM to a new level with the power of an infinite context window. Feed AI unlimited media—text, PDFs, images, videos—with multi-processing magic. Export structured e-book style responses.

Assembly Tetris

Assembly Tetris

CSC258 final group project. Created Tetris game with MIPS assembly with gravity, speed increase, pause, and full set of tetrominoes.

DebateMe

DebateMe

Hackathon project made within 2 days. An immersive platform to engage in meaningful discussions and hone your communication abilities.

C Langford Pairing, Street Map, Shell, Socket Audio Streaming

C Langford Pairing, Street Map, Shell, Socket Audio Streaming

CSC209 Assignments. Using C and Bash, built a client-server audio streaming application using sockets with real-time buffering; a custom POSIX/BASH-compliant shell; a terminal-based street map utility; and Langford pairing algorithms.

Pokemon Game

Pokemon Game

Made a Pokemon game with Java, Maven, and Swing. A realistic and engaging Pokémon battle experience with different moves and strategies.

Skills

Technologies I've used across professional work, research, and personal projects.

Programming Languages

JavaJavaC#C#CCC++C++PythonPythonGolangGolangMIPS AssemblyRRTuring

Frameworks & Web Dev

React/Next.jsReact/Next.jsNuxt/Vue.jsNuxt/Vue.js.NET.NETExpress/Node.jsExpress/Node.jsNestJSNestJSAngularAngularTS/JSTS/JStRPCFlaskFlaskDjangoDjangoRESTApollo/GraphQLApollo/GraphQLTailwindCSSTailwindCSSBootstrapBootstrapTelerikAWSAWSDockerDockerDevOpsDevOpsFirebaseFirebaseRailway

Databases

SQLPostgreSQLPostgreSQLMySQLMySQLNoSQLSQLiteSQLiteMongoDBMongoDBSupabaseSupabaseEdgeDB

Education

University of Toronto

University of Toronto

St. George Campus

Honours Bachelor of Science in Computer Science

Focus: Artificial Intelligence

2022 - 2027 (Expected)

About

Turtle

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.