Nathan Ko

Intro

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.

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Technical Experiences and Projects

Engineering Intern

CYC Motor Ltd · Hong Kong

Jul 2025 – Aug 2025
  • 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

Oct 2025 – Present
  • 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

Aug 2025 – Nov 2025
View Project
  • 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

Languages

Python, C/C++, SQL, JavaScript/TypeScript, HTML, CSS, Racket

Frameworks & Tools

Pandas, NumPy, Flask, React, Node.js, Git, VS Code, Pycharm, Excel

Spoken Languages

English, Cantonese, Mandarin