Hi! I’m Richard, a Quantitative Technologist at Radix Trading in Chicago. Before that, I completed my BS in Electrical Engineering and Computer Science at UC Berkeley where I taught CS 70 for 7 semesters and lead a research group exploring federated learning, advised by James Demmel.
Quantitative Technologist August 2023 - Present
I work on the Ops Team, where I work on a variety of tasks such as writing alphas for our high-frequency trading strategies, implementing connectivity to exchanges, and supporting post-trade analysis.
Python • C++
The Voleon Group
Software Engineer Intern May 2022 - August 2022
I worked on the Infrastructure Engineering Team, where I developed APIs and created a dashboard to collect test metrics and identify flaky tests. I also profiled and analyzed Airflow DAGs to search for sources of slowdown in production jobs.
Python • Docker • Groovy • Elasticsearch • Kibana • Airflow
Software Development Engineer Intern May 2021 - August 2021
I worked on the On-Road Execution Team, where I developed an internal debugging tool to rapidly retrieve transporter itineraries by transporter ID and time stamp.
Java • Typescript • AWS S3 • AWS Glue • AWS Kinesis • AWS CDK
CS 294-220 - Computational Learning Theory (Graduate)
EECS 127 - Optimization Models in Engineering
MATH 110 - Linear Algebra
I’ve been to the highest and lowest points in the lower 48!
I like movies, the Sierras, Jane Austen, and Liverpool Football Club.