Coordinates with senior stakeholders to design datasets and develop ETL pipelines for analytical reporting on critical enterprise development metrics for 40k+ code repositories using Python, SQL, and Snowflake for data processing and deployed with event-driven architecture via AWS Batch

Improved developer efficiency for 25k+ developers by collecting and publishing crucial data on test adoption and code deployment rates, increasing the code coverage of unit testing at an enterprise-scale to 80% and the deployment frequency of commits on average per developer by 100%

Engineered a REST API to prevent sensitive information from being included in over 100+ confidential business documents by performing optical character recognition (OCR) on said documents and scanning them for sensitive data using Python and deployed via Amazon ECS

Collaborated with the iOS security team to ensure the integrity and safety of the Capital One Mobile app by implementing a critical security feature that verifies over 2 million devices using the app are legitimate uncompromised clients through the use of Swift and Python

Partnered with a research team in the UVA Link Lab to implement an intelligent reactive camera system that would improve the computer vision and error correction capabilities of surgical robots

Researched methods for measuring the image segmentation and classification abilities of the Mask Region-Based Convolutional Neural Network (MRCNN) being used to identify and localize objects in the sight of the robot, and developed a script to calculate researched performance metrics using predictions from the model and a ground truth set

Instructed students in a lab environment on the techniques and concepts significant to the field of digital logic design, including Boolean algebra, logic gates, timers, registers, and finite state machines

Designed a major back-end feature that helped launch the company’s intelligent web platform by allowing clients to transfer sensitive data needed for analysis from one secure device to another using Python and SQL for data processing, Django for the application framework, and deployed via Amazon ECS and S3