I'm a software engineer from Stony Brook, New York, working at the intersection of full-stack development and applied machine learning.
I'm currently pursuing a Master's Degree in Computer Science at the University of Illinois Urbana-Champaign while living in Chicago, and I graduate in May 2027.
My interest in statistics and data analysis first introduced me to software engineering, but my love of problem solving drove me to pursue it as a career.
I'm passionate about designing and building software that enhances people's lives, and I'm especially excited about AI research and development.
After graduation I'm looking for a software engineering role in New York City where I can keep learning and make a real impact.
I graduated from the University of Notre Dame in May of 2022 with a Bachelor of Science in Computer Engineering.
At school I was introduced to Gaelic Sports and I joined the Notre Dame Boxing Club.
Besides Notre Dame athletics I'm a die hard Yankee fan, and I love to complain about the Giants when football season comes around.
Outside of work I like going on runs around the lakes and playing golf on the weekends. I also enjoy reading and experimenting in the kitchen when I'm not outside.
Following graduation I spent two years working at Epic Systems as a developer on the data warehousing team.
Most of my work went towards our in-house data ingestion tool, but I got opportunities to lead new development to support foreign-key functionality as well.
My experience at Epic taught me a lot about adapting to product timelines and the demands of industry standards.
Most recently, I spent the summer of 2026 as an AI Development Intern on Chamberlain Group's AI Software Engineering team.
There I fine-tuned a vehicle re-identification model, built a 900-video ground-truth dataset, and designed the pipeline we used to evaluate retrieval accuracy.
EXPERIENCE
Where I've worked
Chamberlain Group
AI Development Intern | May 2026 - August 2026
Fine-tuned an OSNet re-identification model, achieving 58% mAP and 51% Rank-1 on a deliberately hard evaluation set
Built a ground-truth dataset of 900 videos spanning 600 unique vehicle IDs from company video data
Designed and implemented the evaluation pipeline benchmarking mAP and Rank-1 retrieval metrics
Engineered a gallery maintenance algorithm that dynamically updates the vehicle database as new detections occur
Optimized model inference for cost efficiency alongside retrieval accuracy
Tattle
AI Development Intern | January 2025 - July 2025
Collaborated with the AI Development team to design and create classification and matching APIs for customer data
Managed prompt engineering efforts during development to minimize token use and maximize the precision of the model
Built unit test functions in C# to quickly compare the performance of multiple models against many datasets
Carson Optical
Website Developer | January 2025 - July 2025
Acted as lead developer for a new product comparison tool using React and C#
Coordinated multiple initiatives to overhaul visuals and improve performance metrics across the site
Ensured internationalization of all new site development using i18nexus
Epic Systems
Full Stack Developer | August 2022 - August 2024
Spearheaded new functionality to create foreign key joins between external datasets and Epic’s data model
Led UI and API development for a data integration application serving over 5,000 users
Conducted SQL performance and code review for development projects across the company
Design features for applications serving a large user base, ensuring optimal performance and user experience
PROJECTS
What I've built
Drug Interaction Database
Capstone Project
Researched clinical drug-interaction challenges and gathered data sources to define the problem space
Designed a Neo4j graph schema and authored Cypher queries to model complex drug relationships
Led UI design so non-technical users can explore potential adverse drug reactions
