About
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Hi, I’m Nathan. I’ve always been drawn to crunching numbers, whether that meant problem-solving, spotting patterns, or finding better ways to approach a challenge. That curiosity first turned into action in Grade 12, when I co-founded a tutoring business with a partner as a way to share my love for math with younger students. Over nine months, we grew it to 17 students, and I found myself enjoying not just the teaching, but the process of building something from the ground up.
Around the same time, that interest in building began to shift toward programming. I started exploring how software could be used to create useful tools online, which eventually led to a summer internship at CYC Motor, an engineering startup. There, I helped build and train a retrieval-augmented customer service chatbot for their company, giving me my first real exposure to applying technical skills in a real-world setting. I’m now a 1B Honours Mathematics student, strengthening my computer science fundamentals and continuing to build projects that sit at the intersection of finance, data, and software.
Back HomeTechnical Experiences and Projects
Engineering Intern
CYC Motor Ltd · Hong Kong
- Built and deployed an AI-powered customer support chatbot using a retrieval-augmented generation (RAG) pipeline over internal product manuals, FAQs, and support documentation.
- Designed prompt and persona engineering logic to control response tone, reduce hallucinations, and ensure grounded answers from LLMs.
- Integrated the chatbot into the company website, serving 2,000+ monthly user interactions and deflecting a significant portion of human support tickets.
- Built a B2B sales analytics dashboard in Excel to analyze revenue by region, reseller, and time period for management reporting.
Varsity Squash Training Scheduler
Next.js · React · Supabase · OpenAI API
- Collaborated in a team to build a full-stack scheduling platform, matching varsity squash players into training sessions based on availability and skill ratings.
- Designed and implemented the PostgreSQL data model and AI-driven scheduling pipeline using Supabase and the OpenAI API to generate and manage optimized training sessions.
Tech Layoffs vs Stock Impact Analysis
Python · Pandas · Streamlit · Altair
- Developed a Streamlit dashboard, analyzing and visualizing the correlation between tech layoffs and stock impact.
- Cleaned and merged 4,000+ global layoff records with Yahoo Finance market data using Pandas, performing correlation analysis and linear regression.
Skills
Python, C/C++, SQL, JavaScript/TypeScript, HTML, CSS, Racket
Pandas, NumPy, Flask, React, Node.js, Git, VS Code, Pycharm, Excel
English, Cantonese, Mandarin