Summary
Po-chu Chen is a Senior Engineer specializing in Big Data and Analytics with eight years of experience building resilient data backends, ETL pipelines, and data warehouses across finance, gaming, and research environments. Trained in Computer Science (MS, UC Riverside) and Economics (MA, NTU), he blends quantitative insight with systems engineering to optimize performance—evidenced by halving API latency with Redis and reclaiming over half of Hadoop YARN resources through partitioning. His toolkit spans C/C++, Python, Go, Airflow, Kubernetes, and cloud platforms (GCP/AWS/Azure), and he has a track record of deploying hundreds of crawlers, cronjobs, and production programs to scale analytics and reporting. At Argonne and a Supercomputing Laboratory he’s expanded into high-performance computing and computational finance, applying academic rigor to large-scale data challenges. Po-chu is actively exploring internship collaborations in data and software engineering and brings a pragmatic habit of turning complex models into reliable, production-ready services.
8 years of coding experience
6 years of employment as a software developer
Exchange Student, Economics, Exchange Student, Economics at University of California, Berkeley
Master of Arts - MA, Economics, Master of Arts - MA, Economics at National Taiwan University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of California, Riverside