Applied ML solutions from racing data to sensor intelligence. Delivering production machine learning across diverse domains — motorsport performance optimization, intelligent sensor systems, computer vision, and scientific computing.
Motorsport Performance Optimization
Consulting engagement delivering predictive modeling and data analytics for racing performance. Applied machine learning to telemetry data, performance metrics, and race strategy optimization.
Impact: Data-driven insights for competitive advantage in professional racing environment.
Tech: Python, Pandas, Scikit-learn, Time-series analysis, Statistical modeling
Intelligent Sensor Systems
Consulting for sensor technology company developing next-generation intelligent sensors. Delivered ML solutions for sensor data processing, anomaly detection, and predictive maintenance.
Impact: Enhanced sensor intelligence and reliability through ML-driven insights.
Tech: Python, PyTorch, Signal processing, Time-series ML, Edge AI
High-Performance Computational Physics
Published open-source package combining Rust performance with Python usability. Implements T-matrix light scattering calculations used by international research community.
Business Value: Demonstrates ability to deliver performant, production-ready scientific computing solutions.
Tech: Rust, Python, NumPy, PyO3, Scientific computing
Links: GitHub • PyPI
Production ML for Image Analysis
Demonstrated expertise in deploying vision-language models and computer vision systems. Projects include semantic search, classification, and segmentation applications.
Business Value: Proven track record deploying computer vision solutions that scale.
Tech: OpenCLIP, PyTorch, FAISS, FastAI, Gradio
Links: GitHub • Demo
Production-Ready ML/AI Capabilities
Machine Learning: PyTorch, TensorFlow, Scikit-learn, XGBoost • Computer Vision: OpenCLIP, CLIP, FastAI, U-Net • NLP: Transformers, BERT, GPT • RL: Stable-Baselines3, PPO, DQN
Data Science: Python, SQL, Pandas, NumPy, Statistical analysis, A/B testing • Engineering: Rust, Docker, Git, CI/CD, AWS, FastAPI
Domain Expertise: Racing analytics • Sensor systems • Materials science • Scientific computing • Signal processing
Research Rigor Meets Business Focus
PhD training in experimental design and statistical analysis applied to solve real business problems. Consulting engagements prioritize:
From initial problem scoping to production deployment — delivering ML solutions that work.
Available for ML/AI Consulting
Specializing in applied machine learning for racing analytics, sensor intelligence, computer vision, and data science strategy.
Engagement Types: Project-based consulting • ML strategy advisory • Technical leadership • Team augmentation
Industries: Motorsport & racing • Sensor technology • Manufacturing • Scientific instrumentation • Materials science applications