I was born in Beijing twenty-one years ago. As a kid, I spent most of my time outside, exploring freely without much limits—and those years were genuinely happy. My family moved often, and I ended up attending four different elementary schools, living in cities across China.
For most of my early life, I didn’t think much about direction or purpose; I simply went with what felt comfortable. It wasn’t until high school that I started learning to take control of my time and develop a sense of ambition.
Entering university, I still saw myself primarily as a student—following instructions and absorbing what others taught. But over time, I’ve gained perspective and skills, and I’ve begun asking deeper questions about why I exist and how I can bring values. I want to contribute to something meaningful, to help build a better future. I’m genuinely glad that I’ve come to think this way, and I will to keep moving forward in that direction.
I’m a software-minded analyst who loves connecting data and intuition. I use Python, React, and SQL to find structure in chaos, build dashboards with Power BI and ETL automation, and prototype ideas with PyTorch and scikit-learn to uncover trends that tell stories.
Those are what I usually put on my resume. But I’m more than that. I’m a real, curious, sometimes uncertain person trying to figure things out. I’m grateful for what I have, and I hope to create something that makes the world around me a little better. I’m a competing powerlifter, a Go player, a music lover, and a traveler.... I enjoys learning about different cultures and ideas that make me more complete as a person
→ See more about my personal lifeThese days, I’m learning how to slow down and think deeper — to build with intention, not just efficiency. I’m exploring how technology, design, and discipline intersect to create something truly meaningful.
University of Waterloo • Sep 2022 — May 2027
Coursework: Algorithms & Data Structures, Graph Theory, OOP Design, Regression & Predictive Modeling, C++, Python, R.
Activities: Strength Club, Tea Club, intramural basketball, and startup projects.
Discipline • Perseverance • Passion
I've loved sports for as long as I can remember—always running around and trying every “sport” I could find. In junior high, I began formal track and field training, and over the years I explored everything from basketball, badminton to tennis, fencing, calisthenics, etc. A few years ago, I discovered powerlifting and immediately fell in love with it. I now train 20+ hours a week and compete regularly. Powerlifting has become a critical part of my life. Through years of training, I've learned far more than just strength—I've learned reflection, stay focused, persevere, endure, and manage my emotions. It become an essential part of my growth into adulthood and a defining force in how I approach challenges in life.
Calmness • Strategy • Flow
Growing up in Asia, I was one of those kids who went to all kinds of extracurricular classes—music, fencing, Go, you name it. I must have learned at least five instruments, though most didn’t last beyond a few months😂. Go, however, is the one thing that stayed with me. I wasn't very good as a child, and there were years when I didn't play at all. But when I picked it up again in high school, I began to truly appreciate its depth. To play well, you have to quiet your thought and find stillness before the game, much like meditation. I’ve found this practice very helpful when I feel anxious or mentally blank. Go is about rhythm, strategy, and calculation—how every stone, placed dozens of moves ago can unexpectedly shift the entire flow of the board. I still enjoy playing now, spending sometimes on online platforms.
Subtle emotion • Cultural curiosity
Back then (junior high), I was drawn to 80's Hong Kong music, which the melodies were graceful, soft, and often carried a quiet sense of storytelling that deeply moved me. Later, as the internet opened up, I discovered that many of those songs actually originated from Japan, which sparked my curiosity. I began listening to the Japanese versions and found them even more captivating—not only because the original singers conveyed the songs with deeper emotion, but also because there was something beautiful in not fully understanding the lyrics. That slight distance made me reflect on my own experiences. Now that I've started learning Japanese and can hold simple conversations, I've come to appreciate how subtle yet expressive the language is. Someday, I wish I could live and work in Japan for a while to experience that culture firsthand.
Evyerything • openmindedness • learning
Outside of training and work, I like keeping my curiosity alive. I often play basketball with friends and have joined intramural games almost every semester. I also enjoy reading books about the business world—not too technical, mostly biographies and analyses that connect historical trends with the enduring principles that keep resurfacing through change. Recently, I’ve been especially fascinated by large language models, blockchain systems & encryptos, and the evolution of AR technologies. I often find myself thinking about how these innovations might reshape social structures, human relationships, and the subtle ripple effects they could bring to our future. I'd love to get involved in real projects that explore these ideas, so, if you think my passion and background could contribute to your team, please reach out!! 👋
May 2024 – July 2024 | GenAI Hackathon Finalist
Real-time speech-to-sign language conversion platform integrating Google Speech-to-Text, Gemini API, PyTorch gesture models, and a React front end. Optimized the inference pipeline to achieve <1.5s latency—30% faster than baseline—improving accessibility for hearing-impaired users.
July 2024 – Aug 2024 | University Course Project
A full-featured two-player chess engine supporting all standard rules, implemented in C++ using an MVC architecture with Observer pattern for AI opponents. Includes adjustable difficulty levels, unit testing, and version control to demonstrate scalable and maintainable design.
🚧 In Progress | C++20 Machine Learning Library
A lightweight, educational C++20 ML library reimplementing core algorithms (Linear Regression, K-Means, Decision Tree) with a unified fit/predict/score API. Focused on clarity, modularity, and engineering-grade structure with CMake, tests, and benchmarks.
If you’re interested in my story and still think I could possibly strengthen your team, please contact me! Looking forward to any opportunities.
