InterGreat Education Group's official online learning platform.
Horace Z.
Teaches
Computer Science & Information Systems (University)
Mathematics (University)
Statistics & Operational Research (University)
Education and
work experience
work experience
Education
- Master of Computer Science, University of Oxford (10/2020 – 08/2021)
- Bachelor of Actuarial Science and Computer Science, University of Hong Kong (09/2015 – 02/2020)
- Graduated first in class with a GPA of 4.16/4.3.
- Exchange Programs, University of California, Berkeley (06–08/2016, 01–05/2018)
- Completed intermediate CS courses (Algorithms, AI, Security) with a GPA of 3.95/4.0.
Work Experience
- Senior Software Engineer, Quantcast, London (10/2021 – Present) - Optimized a distributed bidding engine handling 2M+ transactions/sec, led AWS cost-saving initiatives, and built a control system for pacing multimillion-dollar ad budgets.
- Data Engineer, OKX, Hong Kong (05/2021 – 08/2021) - Built real-time data pipelines for crypto trading and managed distributed cloud storage.
- Data Engineer, Imagine Software, Hong Kong (06/2020 – 09/2020 - Developed backend pipelines for enriched financial data and explored LSTM models for stock prediction.
- R&D Intern, SenseTime, Hong Kong (06/2018 – 08/2018 - Developed a real-time portrait relighting program for Android, accelerated using OpenCL and CUDA.
About me
Introduction
As a top-performing software engineer with a first-place ranking in my Actuarial Science and Computer Science class at the University of Hong Kong, I am deeply committed to helping students excel in computer science and statistics. My academic journey reflects a strong mastery of statistics, probability, and computer science fundamentals, enhanced by advanced studies at the University of Oxford and UC Berkeley. This unique combination of theoretical depth and practical expertise positions me to mentor aspiring students effectively.
Professionally, I have honed my skills as a Senior Software Engineer at Quantcast, working on a high-performance distributed bidding engine that processes millions of transactions per second. My responsibilities include designing algorithms, managing large-scale AWS infrastructures, and leading complex statistical models for pacing and budgeting customer campaigns in real time. This hands-on experience complements my solid foundation in statistical analysis, predictive modeling, and machine learning, built over years of academic and professional work.
In previous roles, I have developed real-time data pipelines for cryptocurrency trading at OKX, implemented neural networks for stock price predictions, and optimized computer vision applications at SenseTime. These experiences allowed me to apply advanced statistical methods to solve real-world problems, from data preprocessing and feature engineering to predictive analytics.
With expertise in programming languages like Python, Java, and Go, and a strong command of statistical tools and frameworks such as TensorFlow, Pandas, and PyTorch, I can guide students in bridging the gap between theory and application. My fluency in English, Mandarin, and Cantonese ensures I can connect with students from diverse backgrounds, providing personalized mentorship that builds their confidence and skillsets.
I am passionate about helping students master the mathematical and statistical concepts that form the foundation of computer science and data science. Whether it’s preparing for university applications, mastering coursework, or exploring career opportunities, I am committed to equipping students with the tools they need to succeed in their academic and professional journeys.
