"What seems impossible today is the future!" I strongly believe in the idea that innovative thinking has the potential to unlock what the human race needs to advance, in ways never thought of before, in time periods shorter than expected, and in budgets where affordability is not even a question.

2025 — NowMercorApplied AI Engineer

2025 — Now

San Francisco Bay Area

Building RL Environments infra/products for the frontier AI labs

2023 — 2025App Orchid IncSenior Software Engineer

2023 — 2025

San Francisco Bay Area

POC Implementation team

2022 — 2023VerkadaSoftware Engineer

2022 — 2023

San Francisco Bay Area

Business Systems

2021 — 2022NHERI DesignSafeDeep Learning Research Assistant

2021 — 2022

Built a real-time storm surge detection neural network with an architecture that compresses 32TB of storm activity data and predicts storm activity along coastal regions

2021 — 2021UC Berkeley Division of Computing, Data Science, and SocietyUndergraduate Student Instructor

2021 — 2021

Berkeley, California, United States

Teaching Principles of Data Science (Data 100). Leading discussion and lab sections of 20+ students to teach concepts like SQL, Probability, Bias-Variance, Regularization, Logistic Regression, Decision Trees, Clustering, PCA etc.

Hosting Office Hours and responsible for content review and HW assignment releases weekly.

Education

University of California, Berkeley

Bachelor of Arts - BA

UC Berkeley College of Engineering

Experience+

Education

Bachelor of Arts - BA

SCET Certificate in Entrepreneurship and Technology