Summary
Derrick Lin is a backend and data engineer with 11 years of experience building scalable web and data systems, currently researching deep reinforcement learning and computer vision as a graduate student at USC iLab. A UC Berkeley CS graduate who also trained at School 42 SV, he has shipped production APIs and ETL pipelines at Disqus serving a network with billions of monthly impressions and maintained AWS-based data infrastructure. He blends hands-on backend work (Django, Postgres, Redis, Celery) with data engineering (Spark, Redshift, Hive, S3) and practical ML/AI expertise from both coursework and research. Derrick has taught core AI and programming courses at Berkeley, showing a talent for translating complex concepts into usable curricula and mentoring engineers and analysts. He also ships consumer-facing software—from iOS apps to chatbots—demonstrating an ability to move projects from prototype to production. Colleagues describe him as a builder who balances research curiosity with production-grade engineering and a knack for squeezing efficiencies out of large-scale data flows.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Computer, Master's degree, Computer at University of Southern California
Bachelor of Arts - BA, Computer Science, 3.351, Bachelor of Arts - BA, Computer Science, 3.351 at University of California, Berkeley
Whitney High School
Computer Science, Computer Science at School 42: Silicon Valley
English, Chinese, Spanish