● 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.

Equity Funds

● 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.

● Lead engineer for a SAAS product selling and visualizing geospatial data analytics, using JavaScript/Angular, Python, Flask, Redis, and PostgreSQL.

● Mentored junior developers in best practices and established the company’s SDLC.

● Launched initial product, prepared product roadmaps, prioritized features, and conducted usability studies.

● Collaborated with sales team to onboard new customers through pre-sales reports and custom analysis.

● 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.