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.

Python package to help with track data & telemetry data

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

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.