About Me
I'm a senior software engineer specializing in low latency trading software. I am currently on garden leave from Belvedere Trading, where I worked on various pricing and risk management systems primarily in C++ and Python for the last 4 years. I have a degree in Computer Science from UCLA and I am passionate about writing high performance, fault tolerant and maintainable code.
I worked full time at Belvedere Trading from 2021 to 2026, rising to the position of Senior Software Engineer. During my time at Belvedere, I worked on various projects including building a streaming positional risk system, a new service for managing options model parameter updates and a scriptable Python API for traders to automate workflows and trading decisions. As the firm's leading code contributor, I worked to add additional automated checks and improve CI pipelines across multiple languages to improve code quality. Additionally, I lead the summer internship program in 2023 and 2025, directly managing and mentoring multiple interns.
I also interned remotely for Belvedere Trading during Summer 2020, where I completed Belvedere's internal training program focusing on core option and market theory. I worked with a team of three to build a microservice to stream, analyze and forward tweets, allowing them to be consumed in real time and with historical context by traders and quants to inform strategies.
In the Summer of 2019, I was a Security Technology and Response intern at Symantec in Culver City, California. As an intern, I built a virtual filesystem and registry from scratch in C++ to back emulated processes. In addition, I defined a custom language to write signatures for malware detections in an emulated environment. I wrote a lexer, parser and compiler to convert this higher-level defined language into C++ which was compiled as a module for the existing project
In 2018 I was a data analytics intern at ORIS Intelligence, where I utilized data monitoring tools to maintain the health of internal systems. I also developed several web scrapers to gather data from sites monitored by ORIS, and used the data that was collected to solve issues on a larger scale, as well as discover thousands of previously untracked sites, adding value for ORIS's customers.
