SortingΩ
Algorithm reference platform for sorting implementations across multiple languages. Built a community request system so developers can vote on which language they want next — making it a living reference, not a static page.
CS @ UMBC · BS/MS
From computer vision to cloud-deployed apps, I work at the intersection of ML, systems design, and software that actually runs in production.
Algorithm reference platform for sorting implementations across multiple languages. Built a community request system so developers can vote on which language they want next — making it a living reference, not a static page.
Real-time market analysis app with live financial data, time-series analytics, and performance metrics — RSI, Stochastic RSI, volatility, moving averages. Not a toy dashboard; actual indicators traders use.
Real-time computer vision system that detects stress by analyzing eye-openness, brow furrow, and jaw clenching. Outputs a live stress meter using sliding-window signal averaging for smooth, stable readings.
5-person team project: real-time American Sign Language recognition converting hand gestures to letters. Trained on a Kaggle dataset with iterative preprocessing to improve accuracy across lighting conditions and hand shapes.
Full-stack inventory system for an engineering firm — tracking materials in and out of warehouses in real time. Designed for actual operational use, not just as a demo.
An interactive 3D solar system simulator built with React and Three.js — pulling live orbital data from NASA's JPL Horizons API to render real planetary positions, near-earth asteroids, and Keplerian orbit paths.
I'm focused on building systems that hold up in production. The goal is simple: write software that gets used, scales, and solves real problems.
Work with me →I focus on taking projects all the way to production, not just prototypes. SortingΩ is already live, and the Material Tracking System is being built with real operational constraints in mind.
I'm focusing on applied ML and cloud systems — computer vision pipelines, model inference in real-time applications, and scalable backend deployment.
I want to build systems used by real users — tools that solve workflow, accessibility, or data problems in meaningful environments. The goal is impact through software that people actually rely on.