A three-part toolkit for browser session capture, automated crawling, and offline reconstruction of modern web applications.

F1 data analysis & telemetry workstation — lap comparison, throttle/rpm charts, track visualization

Empirical analysis of LEO satellite network handover behavior using real Starlink performance data. Automated collection of 500+ data points revealing 73% connection stability and optimal elevation angles for satellite positioning.

Production-ready F1 strategy simulator with real-time telemetry analysis, pit optimization, and faster API responses via Redis caching.

Forza Horizon 6 Telemetry Tracker: Live route view, live telemetry dashboard, session capture, route visualisation, automatic track and car detection.

A powerful tool for analyzing telemetry data, leveraging machine learning to automatically detect anomalies and unusual patterns. Ideal for monitoring system health, identifying performance issues, and proactive fault detection.

A high-fidelity sequence-to-one Transformer pipeline designed to forecast Formula 1 race outcomes with 95.47% Podium Accuracy. This project represents a complete end-to-end implementation of a deep learning architecture for temporal racing data. I developed a custom 5-layer Transformer Encoder to process 10-lap sliding windows of telemetry context

Python package to help with track data & telemetry data

A professional-grade binary protocol platform for satellite, aerospace, automotive, and industrial telemetry decoding, analysis, and signal generation.

Actuator health intelligence for robotics reliability, telemetry analysis, drift detection, and diagnostic reporting.

Tools and documentation for examining what AI platforms do during your sessions using standard browser developer tools (F12/DevTools). Covers Claude, ChatGPT, Gemini, Grok, DeepSeek, and Perplexity.

F1 telemetry intelligence system that reconstructs laps meter-by-meter using FastF1 data, compares drivers with millisecond delta alignment, and generates race-engine level insights with interactive visualizations.

A Python tool that analyzes the fastest lap between two F1 drivers

Valorant Telemetry Studio is an advanced input analysis and computer vision pipeline designed for the Riot Client environment. This analytical framework allows competitive players to track real-time pixel rendering, monitor kernel-level input latencies, and analyze crosshair vector telemetry.

Advanced Formula 1 data engineering and performance analytics ecosystem. Features MATLAB-based pipelines for tire degradation modeling, fuel-normalization, and automated pre-season testing telemetry processing for the 2026 regulations.

A bare-metal TinyML autonomous RC car running an INT8 MobileNetV2 model and sensor fusion on an ESP32-S3, achieving 40–60ms real-time inference latency via FreeRTOS without relying on Linux or the cloud.

An event-driven telemetry analysis engine powered by Redis Streams, ONNX edge inference, and TimescaleDB.

MATLAB simulation of a vertically launched rocket with trajectory visualization and apogee detection.

Motorsports telemetry analytics, ML pace forecasting platform and driver clustering using FastF1, Scikit-learn, and Streamlit.