Hi, I'm Matt
Product Engineer
Cornell Tech CS MEng graduate building and shipping full stack applications. I'm bridging engineering and product design to turn complex systems into intuitive user experiences.
Technologies I Use
Education
Cornell Tech
M.Eng. in Computer Science
2025 – 2026
Focus Areas:
Applied Machine Learning, Data Science, HCI
Colgate University
B.A. in Computer Science
2021 – 2025
Core Coursework:
Software Engineering, Database Systems, NLP, Algorithms & Data Structures
Experience
Atlantic Group
Product Engineer
New York, NYMay 2026 – PresentLeading the end-to-end product lifecycle for internal recruiting tools from requirements discovery to full-stack development, cloud deployment, and user adoption.
Johnson & Johnson
Platform Operations Engineer Intern
Titusville, NJSummer 2025Designed, built, and deployed a GenAI support agent using LLMs, RAG architecture, and vector databases.
Principal Financial Group
Full Stack Software Engineer Intern
Charlotte, NCSummer 2024Developed and migrated full stack applications to the cloud utilizing AWS, Next.js, TypeScript, and CI/CD DevOps deployment techniques.
Bridgify
Back End Developer Intern
Tel Aviv, ISSummer 2023Utilized Python and AWS to efficiently retrieve and process data from multiple sources, optimizing data handling and storage throughout the ETL pipeline.
Featured Projects
EchoFeed: AI Multimodal Podcast Engine
iOS app converting saved short-form video content into personalized podcasts and RAG-backed coaching chat via Gemini Vision, Celery/Redis async video pipelines, and Gemini TTS.
Kidney Transplant Medical RAG System
End-to-end clinical Q&A pipeline combining FAISS vector search and grounded LLM generation over clinical guidelines, benchmarked across 90 safety, coverage, and faithfulness metrics.
RetinaLiteNet: Medical Segmentation
Hybrid CNN-Transformer architecture built in PyTorch for high-precision retinal analysis, reaching a 0.755 Dice score and 90% classification accuracy.
Next-Query Predictive Search Engine
Comparative sequence modeling engine utilizing fine-tuned T5 transformers to predict search intent, outperforming scratch-trained baseline models by 15x.
Automated Content Moderation Pipeline
Neural network moderation service classifying toxic language with 92% accuracy, optimized for low-latency batch inferences and automated filtering.
GameShelf: Video Game Ranking SaaS
Full-stack web application featuring user authentication, custom collection management, and responsive interfaces powered by a relational database backend.
