A few roles and projects that shaped how I build. This is the context behind the résumé bullets.
2025–present
Lightfield is building a CRM for companies where sales, product, engineering, and delivery all participate in the customer relationship.
2025
I joined YouTube's Living Room team and left a week later to join Lightfield.
I wanted more ownership and a shorter path between what I built and the people using it. I did not know how the choice would turn out; I only knew it felt worth trying.
2024–2025
We built natural-language service search, organized documentation spaces, and a support agent grounded in team documentation.
We applied to Y Combinator but did not turn Plato into a lasting company. It was my first attempt to choose the problem, build the product, and convince other people it should exist.
2024 · Seattle
I built reporting and reconciliation infrastructure for roughly ten million financial events a month. The system used SNS, SQS, Lambda, DynamoDB, EventBridge, S3, and CloudWatch to trace events across services and preserve reporting completeness through retries and partial failures.
2023 · College Park
I worked with a roughly 900-million-edge graph representing relationships in card data. I rewrote motif queries with GraphFrames, improving their performance by about six times and making relationship queries practical at the dataset’s scale.
2023 · Jersey City
I automated part of an internal risk-testing workflow with Python and SQL, reducing its runtime by roughly 85 percent while preserving the checks analysts used to inspect the result.
2022 · College Park
I joined Mindgrasp before the product had traction and worked directly with the founders from their first UMD office. We were applying OCR and language models to lectures and study materials before most students had used a conversational AI product. It was my first close look at models becoming a product rather than remaining a demo or research result.