Building AI-powered tools; from computer vision pipelines to local LLM assistants while finishing my CS degree.
I'm a Computer Science student at NYIT, concentrating in Artificial Intelligence. Right now I'm a Mobile App Developer Intern for WebElites LLC, making a social platform for car enthusiasts, where I work full-stack.
- Currently building a computer vision pipeline to classify recyclable materials and auto-generate PDF reports
- Open to AI/ML roles at startups
Recyclable Material Classifier (OpenCV) Full-stack CV project that trains a model to detect and classify recyclable materials, then compiles the results into a PDF report. Built as a way to dig deeper into image classification and pipeline design.
AI-Driven Travel Budget Optimizer (Python, FireBase) A team project building an AI-powered vacation planner that generates personalized budget allocations across six spending categories. It uses the OpenAI API with tool calls to structure responses into the data the app needs, paired with a custom recommendation engine to tailor the overall budget split to the user.
Distributed Facial Recognition System (Python, OpenCV) This project was made as a way to build a facial recognition system over a local network, allowing for two different devices to distribute the computational load.

