AI Systems · Computer Vision · Applied Machine Learning
Electrical Engineer (PhD) · Data Scientist · University Lecturer
I design and deploy AI systems for real-world problems in healthcare, industry, and scientific applications.
Bridging research, teaching, and real-world AI systems.
What I do:
- Build end-to-end machine learning systems (data → model → deployment)
- Develop computer vision and signal processing solutions
- Teach and supervise projects in AI, engineering, and data science
Explore:
- → Projects / Industry — applied AI systems and real-world deployments
- → Teaching — courses, labs, and student work
- → Logbook — detailed record of projects, experiments, and implementations
- → Publications — research output
About
I am an Electrical Engineer (PhD) and Data Scientist working at the intersection of artificial intelligence, computer vision, and real-world systems.
My work focuses on building AI solutions that move beyond theory into practice, integrating data, models, and deployment in real environments. I have developed systems in healthcare, mining, and industrial contexts, working with interdisciplinary teams and real-world constraints.
In parallel, I have taught more than 70 courses across engineering, mathematics, and data science, emphasizing hands-on learning and applied problem solving.
More details about my work are documented in my logbook, where I maintain a structured record of projects and technical developments.
Contact & Opportunities
I am open to academic, research, and industry opportunities, as well as collaborations.
Please feel free to reach out via: