Summary
Anthony Fong is a backend-focused software engineer with eight years of experience building scalable, production-grade systems across finance and consumer tech. He has shipped backend and reliability work at Citadel and Meta, and contributed to payments risk systems at TikTok, demonstrating a blend of low-latency engineering and operational rigor. Comfortable across distributed systems, ML-informed products, and orchestration tooling, he has implemented workflow scheduling, monitoring, and deployment pipelines using tools like Docker, Kubernetes, Prometheus, Airflow, and Prefect. A current NTU Renaissance Engineering student based in New York, Anthony combines strong academic foundations with practical experience in machine learning and quantitative finance—evident from early ML projects that delivered near-SOTA results on medical image benchmarks. Colleagues describe him as someone who moves easily between research-grade models and hard production constraints, making him effective at turning prototypes into resilient services.
8 years of coding experience
5 years of employment as a software developer
A levels, A levels at Dunman High School
Renaissance Engineering Engineering, Renaissance Engineering Engineering at Nanyang Technological University Singapore