Building a new systematic hedge fund that combines intelligent automation with financial rigor to drive strong risk-adjusted returns for investors.

Optimizing reservation ad delivery for Google Ad Manager (Google's Display Ads Sell-Side Platform) as part of the Sell-Side Quality team. Generalist SWE on Reservation Quality subteam - Helped define team strategy - Owner of team ML models which optimize click through rate, active views, and view through rate - Supervised interns/residents

- Developed neural net machine learning (ML) model to maximize revenue recovery after change to Chrome cookie policy- Reduced bug backlog and time-to-resolution by 50% as Tech Lead of Ad Manager Serving Customer Bug Lead Rotation

- Launched model to maximize auction revenue while satisfying direct deals, resulting in +$100M annual recurring revenue

Engineering Residency is Google’s year-long residency program that provides recent graduates with the opportunity to complete two rotations embedded on Engineering teams. During my first rotation, I worked on the Docs Shared Layout team to improve cross-platform code-sharing between Google Docs, Sheets, and Slides by refactoring the client-side printing paths of Google Sheets. On my second rotation, I worked on optimizing the Display Ads Sell-Side Platform as part of the Sell-Side Quality team.

- Worked under Dr. Heather Zheng to identify security vulnerabilities in Augmented and Virtual Reality technologies.- Researched solutions to possible data leakage issues in using devices that capture third-party data unknown to the user.- Completed an honors thesis on “Iris Authentication Attacks on Virtual Reality Users” to explore the feasibility of adversaries capturing iris authentication information with VR headsets.

Developed curriculum for CMSC 22000 Intro to Software Development pilot class to teach undergraduates core software design and engineering skills through designing a class-wide collaborative project and hands-on lab assignments.

Mentored 95 students on personal and academic issues to develop a supportive house community.

Worked on backend development projects for the Talent Media and Diversity teams for LinkedIn Talent Solutions.- Received return offer to join team full-time after graduation- Migrated legacy data to an Espresso DB as part of an initiative to leverage existing UI features to improve our product- Implemented a pre-processing filtering step for an existing ML process to infer demographic data- Pitched idea and developed UI mock-up for company-wide hackathon anonymizing job candidates to reduce gender bias

- Developed applications to showcase the capabilities of 5G wireless technology as part of the 5G Innovation City lab.- Created a synchronized video player application to test 4K video with low latency using HTML5 video and JavaScript.- Built a web-based augmented reality app, using open-source A-Frame and AR.js libraries, for clients to interact with the lab.

- Efficiently graded homework assignments and projects for Functional Programming and Computer Systems classes, giving constructive feedback to students in order to improve performance.- Worked with teachers and colleagues to manage Subversion repositories and communicate effectively.

Worked under Dr. Diana Franklin in the area of elementary computer science education.The position included development of LaPlaya, a block-based programming language similar to Scratch - adding new blocks in JavaScript on the back-end and implementing new modules on the front-end that incorporate Everyday Math curricula into the LaPlaya interface. I challenged myself by taking on complex projects, learning JavaScript throughout the course of the internship and played a leadership role within a group of my peers by assisting others in their projects and taking on new tasks. My work analyzing past student data to compare learning progressions between different grade levels was included in the research publication linked below.