Full-stack software engineer in the AI/ML space

2024 — Now

2023 — 2023

Worked as an Application Engineer in the Core Product team at Arize, a rapidly-growing ML Observability/LLMOps start-up

Developed Model Data Generator, a solution that automates the generation of model data

Drastically increases efficiency of platform feature deployment

Can be easily customized by developers to emulate specific use cases relating to issues in data drift, performance, and quality.

Wrote 2000+ lines of Python code, tests, JupyterNotebook guides, and high-trafficked ”How To” article published in Forbes and Arize’s Blog

2021 — 2023

Led multiple teams (20+ people) to consult with FinTech and Tech start-ups’ new initiatives

2021 — 2023

Part of leadership team for UC Berkeley’s first environmentally focused tech organization

Led teams to:

Develop an algorithm to enable coverage of ballot measure prospect houses in the

most efficient routes

Work on data analysis project focused on examining the relationship between air

pollution and the severity of COVID-19 cases.

2021 — 2023

I consult with Clean the Darn Air, a nonprofit that develops climate change initiatives for governmental implementation

Developed Python script to parse petition voter data that achieved productivity improvement of 97%.

University of California, Berkeley

Mission San Jose High School