Owned and expanded core money-movement ledgering logic, identifying gaps where legitimate financial activity was not being represented in balance calculations.

Corrected long-standing incorrect money movement in production by reconciling historical data and repairing transactions in a controlled, auditable manner.

Expanded backend logic to account for a much broader range of failure and partial-failure states across money-movement workflows (ACH, rollovers, withdrawals, deposits).

Prevented funds from becoming stuck in unhappy paths by introducing clear terminal and retryable states with deterministic outcomes.

Partnered with Product and Operations to identify systemic failure patterns, not just individual bugs, and implemented durable fixes.

Integrated security and review workflows to protect against fraud and ensure ongoing compliance.

Designed and implemented recurring billing systems for membership fees, including pricing changes, cadence updates, promotions, and ACH failure handling.

Collaborated with the design and product teams to identify, estimate, deliver, and review features for both the web and iOS applications. This included funding source setup for multiple accounts, adding company exclusions, setting recurring investments, handling withdrawals, showing pending transactions, and expanding account pages with portfolio information.

Contributed to decoupling the React web client from the backend Rails server.

Spearheaded the inclusion of snapshot testing into the web development workflow with Percy.

Improved data flexibility, error handling, and test coverage within the iOS application.

Enhancing the Starbucks E-Commerce website

Advancing Kinetic's client application to production

Creating the MVP for Menagerie

Contributed ideas and feedback to product discussions regarding direction and requirements

Responsible for all client application web development for first two years at MotiveMetrics

Organized and matured application's architecture as product and company grew

Structured application’s models and influenced design of API response objects

Researched and lead application's segment management and presentation in Segment Library

Drove segment identification with public data via integration with Twitter Search API to query and present segments reflective of the customer's search inputs

Facilitated regex-based search across thousands of segments, and established filtering and sorting with segment type and time

Delivered downloadable segment report as pdf with server-side rendering

Designed and developed segment similarity tool for research department

Produced an email tool for sales team to engage leads with dynamically generated charts from MotiveMetrics

Spearheaded strategy and design of segment curation using data from Twitter Lists

Tackled challenges to present segment data and reports in clear and understandable formats

Devised interactive data visualization that presented multiple segments across a spectrum

Created dynamic data table that utilized hue and saturation to emphasize positive and negative segment correlations