MS in Computational Biology

Cornell University - Weill Cornell Medicine

Aug 2023 - Feb 2025

• Coursework: Dynamic Models, Algorithms, Machine Learning Imaging, Next-Gen Sequencing, High-Throughput Data

BA in Computer Science & Mathematics

University of California, Berkeley

Aug 2019 - May 2022

• Computer Science: Data Structures, Machine Structures, Efficient Algorithms, Artificial Intelligence, Machine Learning, Techniques in Data Science, Cryptography, Computer Security, Deep Reinforcement Learning
• Math & Economics: Honors Linear Algebra, Honors Abstract Algebra, Differential Equations, Real Analysis, Complex Analysis, Set Theory, Game Theory, Graph Theory, Microeconomics, Macroeconomics, Financial Economics

Software Engineer

Google | Mountain View, CA

Jun 2022 - Mar 2023

YouTube Ads - Living Room team.

• Developed ML models to detect user presence on YouTube TV using TensorFlow and Keras.
• Created metrics, dashboards, and experiments to optimize ad break lengths for shorter interruptions with extended ad pods.
• Performed quality tuning and verification for frequency cap features.

Software Development Engineer Intern

Amazon | Seattle, WA

May 2021 - Aug 2021

Promise Optimization team, Supply Chain Optimization Technologies.

• Built a library that used precomputed data to partially replace real-time computed order cutoff times.
• Produced a KNN/XGBoost weighted-ensemble model for order cutoff time predictions, reaching 89% validation accuracy within one hour of actual cutoff times.
• Reduced expected latency by roughly 20% across 30% of order cutoff times generated through Amazon.