• Developed Oracle’s new source control management system built in Java on JGit and OCI.

• Lead the migration of Oracle’s repositories to OCI’s new SCM system.

• Implemented a distributed system to continuously migrate Git repositories daily.

• Implemented backend features and internal APIs for user's migration experience.

• Wrote Python scripts to pull metrics and generate reports on migration. Reporting weekly to management.

• Rotated on-call, performed analysis on service metrics, proactively mitigated issues, and improved on-call tooling.

• Served as technical lead for a team of undergraduate developers to build an application used daily by lab workers to validate outputs from a YOLO object detection model. The system processed 100,000+ railway object detection events, identifying anomalies and validating video data for intersection design.

• Designed and implemented a multi-processing workflow manager in Python to run an ensemble of computer vision models to label different object detection anomalies outputted by the Y.O.L.O. model.

• Collaborated with and mentored other students on models built with OpenCV, Scikit, and PyTorch.

• Dockerized and deployed backend and frontend services, managed a PostgreSQL database on AWS.

• Designed and implemented a user interface using Javascript, React, and Node.js to manage computer vision model workflows and streamline the manual validation of video data.

• Designed and implemented an automated data collection system in Python to monitor virtual machine usage by compiling and analyzing data from multiple telemetry APIs to create a central source for efficiency initiatives.