Control systems engineer turned end-to-end machine learning practitioner with core competencies and 15+ years hands-on experience in analyzing data, modeling complex dynamic systems, state-of-the-art control systems, applied machine learning, and operationalizing models (DevOps and MLOps).
I am passionate about making sense out of data. Having initially taken fundamental physical and chemical laws to model experimental data, I changed my focus to data-driven state-of-the art machine learning models. I enjoy discovering the various applications of deep learning to many different areas as well as staying on top of the latest developments in machine learning.
Out and proud. 🏳️🌈