Summary

Data Scientist & AI Engineer with experience spanning applied research, industrial systems, and engineering education, working across machine learning, computer vision, and signal processing.

My work has evolved around three interconnected domains. In applied research, I have developed AI methods for clinical and biomedical applications, including imaging and physiological signal analysis. In industry, I have designed computer vision and automation systems operating under real-world constraints in environments such as mining and retail. In education, I have taught and supervised projects in AI and engineering, focusing on bridging theory with hands-on system development.

These three areas are not independent. My work is centered on translating methods into real systems, connecting research, implementation, and deployment into coherent engineering workflows.

To support this, I maintain a structured professional logbook, where I document projects, experiments, and technical developments over time, providing traceable evidence of the work behind the results.