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Anthony Ricevuto

Developer • Creator • Innovator

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About Me

Anthony Ricevuto

Hello, I'm Anthony Ricevuto — a Computer Science student at California State University, Long Beach who uses technical problem-solving in collaboration with creativity and exploration. Building systems that work at the intersection of data and physics and intelligence — from predicting risks of satellite debris to finding anomalies on an aircraft before anything happens. What sets me apart is not merely the code — but the attitude. The discipline, poise, and tactics I developed while playing college baseball now follow me into engineering — meticulous under pressure, team-based at its core and always getting better. You will usually find me jamming out on the guitar, taking my dog to the beach or road-tripping through national parks with a backpack and camera. Those moments outside — on trails or solving problems in the wild — remind me that engineering isn't just about technology; it's also about building tools that allow us to explore, understand and push ourselves. I want to build at the intersection of software, data and discovery: systems that do something meaningful

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Featured Projects

01

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.

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02

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.

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