Programming in Go, Python, PHP, Perl, and Bash, system administration of Linux, Windows, and BSD systems, virtualization, containers, and performance optimization at scale.

Side projects include building a Linux distribution, a web frontend for Git, and a large-scale music analyzer.

Bachelor of Science in Computer Science from University of California, Los Angeles

• Built several proof of concept machine learning pipelines.
• Built production website with about a million users per month.
• Proposed and built a hardware lab, now maintaining it. Handling its several thousand USD budget.
• Built reporting pipeline handling terabytes of data daily.

• Worked on Big Data / Massively Parallel Processing systems, including Greenplum Database, Apache Hadoop, and related technologies.
• Researched and designed data science algorithms and using Map / Reduce and SQL to implement them, focusing on lossy data aggregation techniques.
• Closely worked with another team working on machine learning to insure high performance and high accuracy in their data processing.
• Designed and implemented a common development environment and monitoring system, increasing uptime of an inherited system from 50% to 99%.

• Performed hardware and software support; reduced ticket closure time 50%.
• Designed and implemented program to map unknown network topology by recursively walking administrative interfaces of all Cisco switches and routers.

• Work included deployment automation, ETL, maintenance chores, and similar work.

• Developed ORM and forum component and integrated against other developers' projects.