Hi, I'm Matt
AI/ML Focused Software Engineer
Cornell Tech CS Master’s student and Full-Stack Engineer. I specialize in deploying high-impact ML solutions to solve real-world data challenges.
Technologies I Use
My Experience
Cornell Tech
Master of Engineering
2025 - 2026
Areas of Study:
Deep Learning, Applied Machine Learning, Data Science, HCI
Colgate University
Bachelor of Arts
2021 - 2025
Relevant Coursework:
Software Engineering, NLP, Database Systems, DSA
Johnson & Johnson
Platform Operations Engineer Intern
New JerseySummer 2025Designed, built, and deployed a GenAI support agent using LLMs, RAG architecture, and vector databases.
Principal Financial Group
Full Stack Software Engineer Intern
Charlotte, North CarolinaSummer 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 AvivSummer 2023Utilized Python and AWS to efficiently retrieve and process data from multiple sources, optimizing data handling and storage throughout the ETL pipeline.
Projects
RetinaLiteNet: Medical Image Segmentation & Disease Classification
Developed a hybrid CNN-Transformer architecture in PyTorch for retinal analysis. Achieved a 0.755 Dice score and 98.3% specificity on segmentation while reaching 90% accuracy for 45-class disease classification.
Next-Query Prediction: Comparative Sequence Modeling
Systematic study of paradigms including Markov chains, ALBERT+GRU, and T5 models. Fine-tuning a T5 transformer outperformed deep learning models trained from scratch by over 15x.
Automated Toxic Comment Classification Model
Designed a feed-forward neural network using Python and TensorFlow to identify harmful content. Optimized architecture and training to achieve a 92% accuracy rate in detecting identity-based hate.
GameShelf: Video Game Ranking SaaS Application
Engineered a full-stack SaaS application using Ruby on Rails and JavaScript. Implemented a responsive front end with TailwindCSS and integrated secure user authentication with a relational database.
