Badges
Certifications
Work Experience
Software Engineer
Hive AI• July 2019 - Present
Improve & maintain Hive's ML serving infrastructure. Manage health/performance of the runtime serving system, consisting of thousands of microservice instances running across multiple datacenters, orchestrated using Apache Mesos and monitored using ELK/Grafana. Projects include a Golang TensorFlow model server used to serve over 1 billion monthly requests and contributing to an internal JavaScript dialect used to simplify specifying machine learning APIs by abstracting asynchronous RPCs and pre/post processing handled by C++ addons.
Machine Learning Research Intern
NASA Goddard Space Flight Center• January 2018 - May 2019
Developed deep learning training and inference pipeline for semantic segmentation of multispectral satellite images. Codebase was developed essentially from scratch for preprocessing/visualization, training dataset creation, and model specification/evaluation in TensorFlow.
Deep Learning Research Intern
National Institutes of Health• May 2017 - December 2018
Contributed to the development of an AutoML framework for architecting deep neural networks for biomedical image segmentation. This included generalizing existing code to enable more flexibility during architecture search and creating the experimentation infrastructure to easily deploy and compare networks to a HPC cluster.
Software Engineering Intern
Microsoft• May 2018 - August 2018
Performed exploratory analysis on terabyte-scale data from the Bing Ads platform to investigate why new users may be struggling to get impressions. Designed and implemented a data science pipeline to regularly mine offline data and present analytics in a dashboard.
Software Developer
UMD Terrapin Works• August 2016 - December 2017
Developed software for internal automation tools and operated 3D printers. Software projects included automating filament tracking with an application to read data from a barcode scanner and track quantities using the Google Sheets API, and creating a Google Chrome extension to automate job label creation by parsing HTML job pages and sending data to a Raspberry Pi connected label printer.
Education
University of Maryland at College Park, College Park
Computer Science, BS• 2014 - 2019