Distributed systems engineer focused on high-throughput fintech infrastructure. Currently on a planned sabbatical. Joining Ripple in March 2026.
At Clear Street, I led the engineering team responsible for BK (the firm’s real-time ledger).
● Promoted from Senior to Staff Engineer to lead the Clearing & Settlement Platform team, with direct reports, owning architecture and delivery of real-time trade capture, ledger processing, and production-grade testing infrastructure on AWS (Golang, Python, Kafka, Postgres).
● Re-architected and replaced the legacy transaction processing engine with a horizontally scalable distributed system, increasing capacity to 100,000+ transactions per second and enabling business growth from 20K trades/day to 8+ million trades/day.
● Designed and implemented a production-parity data seeding and stress-testing framework, enabling deterministic load simulation and safe scaling of trading volume; contributed to achieving 99.2% platform uptime and materially improving system resiliency.
● Architected and implemented the primary ETL workflow for fund reference data using Python, Kafka, and Solr. Lead the engineering and automated testing initiatives to migrate to the new workflows.
● Owned multiple C/C++ services powering fund analytics and reference data in the Bloomberg Terminal.
● Scaled and migrated to Linux mission critical databases which receive billions of hits per day.
● Nominated as the funds team Technical Representative to disseminate new technologies and information.
● Equities Post-Execution Engineering - Created a system to model and calculate Equities/Options exchange fees and commissions, using Python for APIs and Apache Beam/Spark for data workflows. Automated the reconciliation process and improved accuracy from 20% to <1%.
● Equities SDLC engineering - Lead development on an ETE testing framework used to certify trading and messaging applications using Python, JavaScript/React, and C++.
● Owned proof of concepts of Chef, Docker, public cloud services, and evaluating their application in Equities.
● Responsible for all frontend and backend development, infrastructure, and metrics, using Puppet, Python, Django, PostgreSQL, Redis, Backbone/JavaScript.
● Doubled the number of orders processed per day by creating custom inventory management software.
● Reduced returns by 30% by creating a predictive algorithm to identify optimal clothing choices.
