Lead deal-related machine learning for ZoomIQ, architect and build data pipeline, model training, and testing apparatus

Manage big data machine learning system for Zoom e-commerce products, design and implement Spark-based ML models

Serve as tech lead for multiple projects, standardizing engineering practices and guiding system designs

Created two big data unit testing suites used across organization to ensure quality of Zoom products (Spark and Athena/Presto)

Mentor junior software and machine learning engineers

Member of company-wide engineering hiring committee

Used dimensional modeling, HDFS, and Spark to organize and process 100MM+ events per day

Lead researcher at Incubation Lab, developed prototype model for fee prediction

Consultant to PayPal SRE engineering, provided guidance on RL model for data center capacity

Developed C++ object-detection pipeline and nascent segmentation architecture

Built and integrated new Torch C++ backend into existing training and testing infrastructure

Optimized company's deep neural networks, experimented with cutting-edge techniques to improve performance

Led responsive rewrite of /ShowUserReviews servlet, the most heavily trafficked area of the site

Owned set of internal tooling applications, drove product development to meet analysts’ needs

Managed team’s data requirements, creating ETLs in Hive/Hadoop and integrating them into backend services

Spearheaded projects with PMs and analysts, delivering fast and efficient infrastructure to match business objectives

Coordinated inter-team efforts to extract dependencies, overhaul testing suites, and drive modularity