👋 Hi, I’m Fenney
💻 Software Engineer | Problem Solver
- A developer who best understands customers and products, and the strongest engineer among those who communicate with customers and understand products.
- Proficient in Python, Java, Go, and Javascript;
- Experienced with Git, Docker, and Linux; capable of end-to-end project deployment
📚 Education
- Currently pursuing Computer Science,statistics and finance policy at the University of Chicago
- Research interests: Fullstack, Algorithms, and Fintech
🌱 Always Learning
- Machine Learning & Data Systems
- Full-Stack & Backend Engineering
🚀 What I do best
- Build end-to-end machine learning systems that run reliably in production, covering data ingestion, feature engineering, low-latency model serving, and system monitoring.
- Hands-on experience designing real-time ML pipelines for risk scoring, recommendation, and bidding use cases, with practical experience in deep learning models such as DeepFM, DSSM, and Transformers, as well as reinforcement learning.
- Strong focus on latency, reliability, and observability in deployed ML services. I design and implement scalable backend services and APIs, work extensively with distributed systems and data infrastructure, and deploy production systems using Docker, Kubernetes, CI/CD pipelines, and AWS.
📫 How to Reach Me
- Email: jiayuzhao@uchicago.edu
⚡ Fun Fact
- Avid tennis player and swimmer 🏸🏊♂️