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.

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.

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

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

Python package to help with track data & telemetry data

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

A hosted python project comparing F1 drivers' styles for the 2024 season

Next-gen F1 race strategy optimizer & telemetry analysis. AI agents, sub-ms processing, quantum-resistant. Rust+WASM+MCP for F1, sim racing, autonomous racing (A2RL). $2.7B market.