CV

Name
Yucheng (Steven) Chen
Label
AI Researcher & Full-Stack Developer
Email
i@schen.me
Website
schen.me
Summary
Grade 12 student in Canada; Research Intern at Project Neura / UTMIST; AI / Full-Stack Engineer Intern at Kabuda Group; Founder of Amplimit

Work

2024PRESENTResearch Intern

Medical image segmentation research.

  • Co-first-authored MIPCandy, a modular PyTorch framework for medical image processing (arXiv 2602.21033, 80+ GitHub stars)
  • Contributed to the SortScrews dataset paper
2025.02PRESENTAI / Full-Stack Engineer Intern
Kabuda Group, Toronto
  • Developed AI agents and custom chatbot features for client applications
  • Architected and implemented RESTful backends for website and mobile platforms
2024PRESENTFounder
Amplimit

Sole proprietorship registered in Ontario.

  • Co-founded LexAmp, an AI-powered legal services platform connecting consumers with lawyers
  • Exploring quantitative finance tools and strategies

Education

2025.042025.06Canada
OSSD
Elton Academy, Ontario
2023.092025.03Canada
OSSD
Bur Oak Secondary School, Ontario
2020.092023.06China
Junior High School
Nankai Liangjiang Secondary School, Chongqing

Awards

  • FBLA Canada National — Coding & Programming5th place / 1,800+ competitors (2025)
  • Canadian Computing Competition (CCC)Top 120 in Canada (2024)
  • Canadian Senior Mathematics Contest (CSMC)Top 25% / 16,425 registrants (2024)
  • Euclid Mathematics ContestTop 25% / 27,092 participants worldwide (2025)
  • Diamond Challenge (Round 2)Honorable Mention (2025)
  • UofT Rotman Commerce Boardroom CompetitionAward Winner (2024)
  • Wharton WGHS Investment Competition (2024)

Publications

2025.06
ATLAS: AI-Powered Stock Market Pattern Recognition System
Steven Chen

Technical Skills

Languages
Python, Java, C++, Rust, TypeScript
ML/DL
PyTorch, computer vision, medical image segmentation, quantitative modeling
Web
Next.js, React, NestJS, Tailwind CSS, Prisma
Data
PostgreSQL, Redis, SQLite, Meilisearch
Infrastructure
Docker, Nginx, PM2, Linux, Git

Languages

Mandarin
First Language
English
Fluent

Projects

2025ATLAS

AI-Powered Stock Market Pattern Recognition System

  • Applied computer vision methods (GASF/GADF/RP/MTF) to stock market pattern recognition
  • 83.4% validation accuracy with 17,081 parameters (18.5x more efficient than ResNet50)
  • Sub-millisecond inference, validated across 200+ stocks

Investment Portfolio Management & Analysis Tool

  • Built for Wharton WGHS with Python backend + Next.js frontend
  • Parallel pipeline supporting 60+ assets, sub-3-second response
  • SSE streaming for progressive metric loading
2026LexAmp

AI-Powered Legal Services Platform

  • AI legal chatbot, smart contract generation, compliance review
  • Refined through Rotman Boardroom, Diamond Challenge, and FBLC competitions

Extracurricular

2024PRESENTVice President / Executive
FBLA Canada, Bur Oak Chapter (Econ & Biz Champs Club)
  • Recruited and mentored 50+ members
  • Participated in Wharton WGHS as executive