Boston, Massachusetts, United States
• Led a team of 3 to research and create a new Fleet Card (Fuel Corporate Card) product utilizing Stripe including card provisioning, account servicing, billing, rewards, and reporting supporting 10 fleets, 100+ cards and $300k in annualized GMV for initial launch. • Designed and implemented a configuration driven webhook event delivery pipeline responsible for reliably delivering millions of events to corporate partners (Uber, Lyft, GasBuddy, etc) meeting contractual SLAs. • Developed a low latency user profile and targeting service supporting pricing and ux utilizing DynamoDB, including a subsystem to synchronize user profiles to third party marketing and BI platforms (Iterable, Segment, etc) with over 6.3 million updates a day across 1.5 million users. • Automated user cash out payments utilizing third party API integrations for PayPal and Dwolla (ACH) supporting 12 million cash outs worth over $35 million. • Started an internal networking program connecting employees with 70% participation to maintain culture as headcount grew 4x throughout the pandemic.
• Decreased operational costs of critical regulatory finance data pipelines by 98% by migrating them to the cloud utilizing AWS Lambda and Step Functions • Designed and implemented a web application enabling other data teams to utilize this new cloud based pipeline architecture growing its user base to 20 teams and 300 pipelines • Developed POC of a system to interface between Salesforce and a Third Party mainframe system to perform and track ad hoc bank account servicing operations reducing business and operator error * Spark It Forward Award
Shadowed and interviewed team responsible for validating valuation model updates and analyzed their workflow Designed a framework to streamline, simplify, and automate the model update validation and release process Implemented a report output feature from above framework in python, saving the team about 30 min. of work for each model update
RA for Dr. Jens Meiler exploring protein structure modeling and prediction. Worked with a team of lab software developers to refactor the lab's in house protein structure modeling software written in C++ Developed a benchmark to determine the best way to incorporate new data (amino acid predicted contacts) into the existing model scoring framework