AI-powered tool matching resumes to job descriptions using semantic similarity, vector embeddings, and transformer models.

A machine learning model that predicts wildfire risk using weather and vegetation data. Developed with Python, PyTorch, TensorFlow, and scikit-learn, achieving 87% accuracy.

LLM-powered agent automating job search with RAG ranking and auto-application via Selenium and Meta LLaMA-3.

Full-stack university Q&A platform with secure user auth and API integration, built with TypeScript, React, and MongoDB.

Full-stack fitness platform analyzing cycling and running data with advanced metrics like FTP and power curves.

Simulation modeling evolution with agent traits and neural network behavior in a dynamic environment.

Custom Unix shell built in C supporting piping, redirection, and background processes with full system call integration.

Java desktop app for image editing, built with strict MVC architecture and object-oriented design principles.