I CODE

Patented Fintech Systems
Widely Used Consumer Products
Automated Trading Systems
B2B Solutions

Who I Am

A polyglot problem solver focused on engineering simple solutions to complex business problems.

Effective deep in the weeds of a technically complex problem, or starting from the 30,000 foot view of a business problem.

I've architected and delivered patented fintech systems, widely used consumer products, automated trading systems for private investors, and helped make a generational shift in shareholder engagement in the United States.

In my free time, find me dribbling a soccer ball in various leagues, running club sessions at Sphere, or picking things up and putting them down at the gym.

My Work

My consulting firm brings 15 years of technical full-stack expertise across a variety of industries including finance, insurance, healthcare, consumer products, B2B software, and cybersecurity since 2013.

Led the backend architecture and implementation of a first-of-its-kind and industry leading Q&A platform for shareholder engagement which led to acquistion by Robinhood. Billions of dollars of shareholder value have been represented.

Made significant contributions to the architecture and implementation of Say's proxy processing backend serving over 10 million customers.

Led architecture and implementation of company-wide initiative to create monolithic data store storing over 1 billion medical images (DICOMs) and serve all core services and workflows including machine learning workflows, front-end apps, ingestion, and more.

Steveston Holdings

Founded, architected, implemented, and managed an automated cryptocurrency arbitrage trading strategy for several private investors.

The real-time trading and risk management system interfaced with several cryptocurrency exchanges that automatically identified millions of opportunities a day and executed pair and triangular arbitrage trades.

Developed real-time venue and event search platform surfacing millions of venues and hundreds of millions of events creating the most accurate and comprehensive map of NYC ever created.

Cofounded and led backend architecture and implementation of an augmented reality fitness oriented mobile app while working on my Master's of Computer Science.

Proposed and led implementation of performance project to reduce latency by 120% on all analytics calls on FactSet's workstation.

Professor Malik Magdon-Ismail advised me on Optimal Sparse Linear Auto-Encoders and their performance benefits in real world situations over Principal Component Analysis.

Get In Touch

I'd love to chat.