Jul 2025 – Feb 2026 · 7 mos · New York, New York, United States

Nov 2024 – Jun 2025 · 7 mos · New York, New York, United States · Hybrid

Mar 2023 – Nov 2024 · 1 yr 8 mos · New York, New York, United States · Hybrid

• Designed and implemented front end, hosting, and authorization for Gemini feature on Google Home smart displays that retrieves videos from users' camera history
• Designed and implemented the API orchestration layer between the client and AI model service for a feature in the Google Home app that uses generative AI to create automations
• Participated in on-call rotation, bug triaging, monitoring, migrations, and quality improvements of Routines back-end
• Reduced Routine action error rate by 15% by designing, implementing, analyzing metrics for, and launching a system of warnings to visually inform users when they are creating a poorly configured Routine

May 2022 – Aug 2022 · 3 mos · Mountain View, California, United States

• Built a feature in the Google app for Android which, based on the current webpage, displays a button that triggers a suggested App Action (e.g., adding items to a cart on a third-party app)
• Rolled out feature in experiment that resulted in 1k+ daily impressions

May 2021 – Aug 2021 · 3 mos · Seattle, Washington, United States

• Extended a tool that allows for the cloning of CX projects and dashboards across accounts to also work for BX dashboards, projects, and programs
• Refactored and generalized the codebase to facilitate future support for additional project types
• Saved sales and solutions engineers approximately 2,580 total hours annually that would otherwise be spent manually recreating BX projects from scratch for demos

May 2020 – Jul 2020 · 2 mos · Seattle, Washington, United States

• Created a microservice that enables customers to query their API usage data via a RESTful API
• Researched time series database and metric collection options, and designed and implemented system architecture and API

Jan 2020 – Dec 2020 · 11 mos · Raleigh-Durham-Chapel Hill Area

• Served as a TA for the regular and advanced sections of Software Design & Implementation
• Held weekly office hours, answered students' questions online, and graded projects
• Mentored 3-5 students per semester by conducting code reviews, hosting weekly 1:1 meetings, and giving detailed feedback on projects and students' performances

May 2019 – Aug 2019 · 3 mos · Jupiter, Florida

• Trained a machine learning model to detect and distinguish between different transformers
• Used Unity to integrate model with an application to be displayed on a Realwear headset's viewing screen
• Tools: Python, Tensorflow, AWS Sagemaker, Unity, C#
• Learned about DevOps and creating CI/CD pipelines
• Created my own CI/CD pipeline using Jenkins to automate the building, testing, and deployment of a dashboard to be used for Power Delivery Operations
• Tools: Jenkins, Groovy, Maven, SonarQube