B.Sc. Honors Computer Science • Minor in Statistics @ McGill University
Driven by a passion for Artificial Intelligence, I am a final-year Honors Computer Science student at McGill. I combine a strong statistical foundation with hands-on experience in Deep Learning and NLP, having built poker bots, CNNs, and enterprise AI tools. I aim to leverage advanced ML techniques to solve complex, real-world problems.
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Growth Engineer Intern @ Botpress (Sep 2025 - Dec 2025)
- Enhancing open-source integrations (SharePoint, MailerLite, Persat) with new features and improved stability.
- Developing a bot-building agent to improve user onboarding and retention.
- Running pilot programs and providing hands-on support for Team Plan adoption.
- Upcoming: Returning Summer 2026 for Growth Engineering.
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Software Developer Intern @ Retail Realm (May 2025 - Aug 2025)
- Designed and deployed an internal support automation tool using Azure Databricks and PySpark.
- Implemented a RAG system with Vector Databases for semantic search on support tickets.
- Deployed locally hosted LLMs (vLLM) and integrated Agentic chatbots using LangGraph/LangChain to reduce response times.
- McGill University (Expected June 2026)
- Degree: B.Sc. Honors Computer Science, Minor in Statistics
- Focus: Artificial Intelligence, Machine Learning, Reinforcement Learning, Time Series Analysis, Software Design, Applied Regression.
| Category | Skills |
|---|---|
| Languages | Python, Java, JavaScript, TypeScript, C, C++, R, SQL, MATLAB |
| AI / ML | PyTorch, NumPy, Pandas, Scikit-learn, PySpark, HuggingFace, LangChain, LangGraph, vLLM, OpenAI API |
| Full-Stack | ReactJS, Next.js, TailwindCSS, React Native, Django Rest API, MUI, HTML/CSS |
| Tools | Git, Linux, Azure Databricks |
- Modular Study of DQN Enhancements: Reimplemented Rainbow DQN from scratch in Python/PyTorch, achieving 60% faster convergence and superior rewards on Seaquest.
- Turing Poker Bot: Built a poker bot with real-time EV calculation and adaptive opponent modeling; qualified for cash prizes in a competitive tournament.
- BetterCV: AI-powered web app that generates tailored CVs by analyzing job descriptions and user profiles with Google Gemini AI.
- Meal Mates: React Native mobile app for social dining that matches friends with nearby restaurants using a swipe interface.
- Digit Recognition: Designed and trained a CNN for handwritten digit recognition (86%+ accuracy) using PyTorch.
When I'm not coding, you can find me:
- 🏐 Playing Volleyball
- 🚴 Cycling around Circuit Gilles Villeneuve
- 🧗 Bouldering
- 🏂 Snowboarding
- 🌍 Travelling & trying new foods
- 🎮 Gaming (Competitive & Relaxing)
- 📧 Email: fongcymax@gmail.com
- 💼 LinkedIn: Maximillian Fong
- 💻 GitHub: sham-bolic
- 🏆 Devpost: Maximillian Fong