Recent graduate from Boston University with a degree in Computer Science and a minor in Economics. I gained valuable experience through an internship at Amazon and full-time as a Software Engineer at Google and Susquehanna International Group.

2024 — NowGoogleSoftware Engineer

2024 — Now

Mountain View, California, United States

Gemini in Assistant

2023 — 2024Susquehanna International Group, LLP (SIG)Software Engineer

2023 — 2024

Greater Philadelphia

Electronic Options Trading

2022 — 2023GoogleSoftware Engineer

2022 — 2023

Mountain View, California, United States

DSPA - Google Home/Nest

Designed and developed a centralized and extensible framework from the ground up that enables

seamless interactions with hundreds of first and third-party smart home devices.

Implemented a bridge and managed requests between Typescript front-end and Java back-end API

using Kotlin and internal Google tools to support 5 million daily Google Home users.

Formulated design documents for error handling and successfully implemented them, reducing debugging time for Google Home APIs by 50%.

Communicated between engineers, project managers, and UI/UX designers to meet customer needs by

integrating back-end functionality into the redesign of the user interface.

Created unit, integration, end-to-end, and manual tests through an emulator to ensure features function

independently and as part of the entire system, resulting in a minimum test coverage of over 90%

2020 — 2022Boston UniversityComputer Science Course Assistant

2020 — 2022

Greater Boston Area

Led 3 weekly office hours and labs to instruct ~500 students in problem solving techniques and the

fundamentals of programming in Python and Java.

Provided support to Professor Dave Sullivan in addressing student inquiries and concerns regarding

assignments and exams through a learning management system called Piazza.

2021 — 2021AmazonSoftware Development Engineer Intern

2021 — 2021

Cambridge, Massachusetts, United States

Alexa AI - Natural Language Understanding

Built, tested, and deployed end-to-end software for Alexa Natural Language Understanding (NLU) to

improve Alexa’s internal testing framework’s reliability and speed across all Alexa teams.

Constructed a centralized platform using Java, Spring, and SQL to manage NLU data and improve visibility for errors, and implemented a dashboard using React.js to display insightful metrics.

Contributed to the reduction of system downtime, outages, high-priority tickets (Sev 2s), and on-call

issues across various Alexa teams by decreasing on-call pages by 33%.

Education

2018 — 2022

Boston University

Bachelor's degree

2018 — 2022

2014 — 2018

Radnor Senior High School

2014 — 2018

Experience+

Education

Bachelor's degree