Machine Learning, Database Systems, Distributed Systems. Multiple Software Internship experiences building Machine learning algorithm and backend infrastructure. Publications in Machine Learning in IEEE ICDM and AAAI. Experience in Python, C/C++, Java, SQL.

Experience

AmazonSoftware Development Engineer

2021 — Now

Sunnyvale, California, United States

Amazon FireTV Advertisement technologies & supply growth (2025 - )

Backend infrastructure of Amazon's Shopping Experience (2021 - 2025)

Soma CapitalFellow

2022 — Now

Beta UniversityFellow

2022 — Now

AmazonSoftware Development Engineer

2020 — 2020

Greater Seattle Area

Worked on telemetry data ingestion and analytics for Amazon retail

Baidu, Inc.Software Engineer

2019 — 2019

Designed and implemented a facial recognition pipeline for the customer facing application that can resists against state-of-the-art attach mechanisms. The pipeline was used by world-wide customers who are accessing the app every day

Education

Carnegie Mellon University School of Computer Science

Master's of Science

Carnegie Mellon University

Experience+3

Education

Master's of Science

Bachelor’s Degree

Experience