Professional Overview
Senior Engineer with 20+ years of experience architecting and deploying real-time Computer Vision systems. Proven track record leading low-latency solutions from concept to production for professional sports. Deep expertise in 3D geometry, multi-camera calibration, sensor fusion, and production-grade reliability across the stack.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Led HW/SW development of electronic line-judging system for professional tennis
- Created high-speed video review system for professional padel tournaments
- Architected real-time multi-camera + LIDAR ball/player tracking pipeline
- Designed and implemented real-time 3D skeletal tracking system for players
- Mentored multidisciplinary R&D team, drove continuous improvement cycles
Key Achievements / KPIs
- First ITF/ATP/WTA approval for electronic line-calling on clay
- World-first video review challenge system adopted for World Padel Tour
- Real-time ball/player tracking via multi-sensor fusion, low latency
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Led HW/SW development of electronic line-judging system for pro tennis.
- Created high-speed video review system for professional padel tournaments.
- Architected real-time multi-camera + LIDAR ball/player tracking pipeline.
- Built 3D skeletal tracking system
- Mentored multidisciplinary R&D team, drove continuous improvement cycles
Key Achievements / KPIs
- First ITF/ATP/WTA approval for electronic line-calling on clay
- World-first video review challenge system adopted for World Padel Tour.
- Sub-pixel real-time ball/player tracking via multi-sensor fusion, low latency
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Founded and led a mobile robotics company handling product dev & manufacturing
- Directed all operations, business strategy, product roadmap, and finance
- Managed collaborative R&D projects with national research institutions
- Oversaw end-to-end development and programming of autonomous mobile robots
Key Achievements / KPIs
- Established a self-sustaining tech company from the ground up
- Delivered multiple mobile robot products from concept to market
Education
Field of Study: Robotics and Automation
Field of Study: Automation & Industrial Electronic Engineering
Field of Study: Industrial Electronics Engineering
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
