Lead a team of 20 (engineers, PMs and designers) building customer-facing digital products. Some of our work includes:- TrainTime (https://new.mta.info/traintime)- Every realtime sign in the subway, including countdown clocks- A new MTA app coming out in Spring 2025- Radar: an internal tool to see all realtime data in one place i.e. every train with the live passenger count

• Lead a 3-person group responsible for all customer-facing digital information including app, website and in-station signage. Information is used by 330K riders/day (pre-COVID).• Rolled out most comprehensive loadweigh system of any transit agency in the world, giving customers access to realtime crowding in each train car.• Released app that displays crowding data and realtime GPS locations of every train in our fleet. One rider called it “the most useful tool to come out for commuting in a long time.”

• Worked with co-founder to determine company strategy and generate the product roadmap.• Project-managed work by software engineers to complete key backend features, including core machine learning.• Raised money through Techstars NYC W'16. Won SBIR grant from Federal DOT.

• Researched feasibility of new service offering and presented my recommendation for a strategic entrance into the market.• Worked on project to improve information awareness and coordination in the operations center.

• Tech lead of a team of five engineers on a deployment with a large, New York-based bank. Set the vision for and sold client on the big data services Palantir offered to them.• Managed a separate account on the business side with a leading investigative consulting firm. • Worked directly with the client to integrate Palantir products into their workflow.• Wrote and implemented a custom pipeline tool to optimize collection of data from source systems. This tool is filed under patent US 8935201.

• Worked on the networking infrastructure team building a product to monitor internet traffic entering and leaving the Google network.• Coded primarily in Python and C++, working with Google-scale data on large, distributed systems.