About Me
Hello, I'm Anthony Ricevuto — a Computer Science student at California State University, Long Beach who combines technical problem-solving with creativity and exploration. I build systems at the intersection of data, physics, and intelligence — from predicting satellite-debris risks to detecting anomalies in aircraft before they occur. What sets me apart isn't just the code, but the mindset behind it. The discipline, focus, and strategy I developed playing college baseball now carry into my engineering work: staying sharp under pressure, collaborating as part of a team, and continually improving. Outside of coding, you'll usually find me playing guitar, taking my dog to the beach, or road-tripping through national parks with a backpack and camera. Those moments outdoors remind me that engineering isn't only about technology; it's about building tools that help us explore, understand, and push what's possible. I want to build at the intersection of software, data, and discovery — systems that genuinely matter.
Featured Projects
Pre Flight Anomaly Detection
Developed and deployed a real-time aircraft sensor monitoring system using Azure Functions and Python that performs dynamic anomaly detection on critical flight parameters. The publicly accessible REST API uses Median Absolute Deviation statistical analysis to identify anomalous readings in RPM, temperature, pressure, and voltage data. Features dynamic model retraining and provides comprehensive normal operating range calculations for aviation safety applications.
View Project →Space Debris Risk Assessment
Developed a system to assess collision risk from orbital debris using real-time Two-Line Element (TLE) data. Parsed and propagated satellite trajectories with SGP4, applied a Kalman filter for state estimation, and trained a Random Forest classifier to label debris objects by collision risk level based on position and velocity. Enabled automated downloading, processing, and classification of space debris from CelesTrak.
View Project →Neil deGrasse Tyson AI Chatbot
An interactive AI chatbot powered by OpenAI that emulates the speaking style, knowledge, and enthusiasm of renowned astrophysicist Neil deGrasse Tyson. Engages users in conversations about space, science, and the cosmos with the characteristic wit and educational approach that Neil is famous for.
View Project →Get In Touch
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