Gary Beane
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Gary Beane

ML/AI Consultant & Data Scientist

Translating research expertise into production ML solutions. From racing analytics to sensor design — delivering data-driven insights that move the needle.

PhD Materials Science • Google Advanced Data Analytics Certified • Consulting: Racing Data ML & Sensor AI

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Recent Work

Delivering ML solutions across racing analytics, sensor design, and scientific computing.

Racing Data ML • Predictive modeling and analytics for motorsport performance optimization

Sensor Design AI • Machine learning for intelligent sensor systems and data processing

pytmat • High-performance scientific computing package (Rust/Python) with international adoption

Computer Vision Tools • Production ML applications for image analysis and classification

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Technical Expertise

Machine Learning & AI
PyTorch • TensorFlow • Hugging Face • OpenCLIP • Stable-Baselines3 • FastAI

Data Science & Analytics
Python • SQL • Pandas • NumPy • Scikit-learn • Statistical Analysis • A/B Testing

Software Engineering
Rust • Docker • Git • CI/CD • AWS • Linux • FastAPI

Research & Scientific Computing
Experimental design • Signal processing • Optical physics • Numerical methods

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From Research to Applied ML

PhD Materials Science → 10+ years research → Now delivering production ML/AI solutions as consultant. Rigorous scientific training meets practical business applications.

Current Focus: Racing data analytics • Sensor AI systems • Computer vision • Predictive modeling

Consulting Engagements: Motorsport performance optimization • Sensor design and intelligence • Data science strategy

Connect: LinkedIn • GitHub • Google Scholar • Contact

PhD-trained rigor. Consultant-focused delivery.