About me

Professional Journey

My career path has been a gradual evolution from traditional civil engineering to data science and AI. I started with studies in civil engineering and water management at Delft University of Technology, drawn to complex systems and sustainable infrastructure. During my fieldwork in Thailand and Indonesia, I began to appreciate the power of data in solving real-world problems.

As I completed my master's degree in Water Management, I discovered a passion for programming and data analysis. I taught myself Python, machine learning, and modern software development practices. This self-directed learning transformed my career trajectory toward data science and software engineering.

Since 2019, I've worked at Dunea, a drinking water utility, where I've grown from a data scientist into a hybrid technical leader and strategist. I've initiated the development of an internal Python SDK, led AI implementation strategies, and advised management on digital transformation. My work combines technical implementation with strategic vision, building bridges between what's possible and what's practical.

Technical Philosophy

I believe in building systems that are robust, reusable, and designed for actual use rather than theoretical elegance. My approach to technology is pragmatic: I value solutions that solve real problems and can evolve with changing needs.

Having worked at the intersection of traditional engineering and modern digital systems, I've developed a unique perspective on how technology can enhance infrastructure and public services. I'm particularly interested in how AI and cloud technologies can be integrated responsibly into existing systems to create sustainable, resilient solutions.