I’m a scientist turned software engineer, combining deep experience in computer science and biological sciences. My early career was rooted in experimental research, where I learned to ask sharp questions, design systematic tests, and extract meaning from complex data. Those skills translated naturally into programming and building data-driven systems.

I approach software the same way I approached science: iteratively, with hypotheses, feedback loops, and a focus on solving meaningful problems. My current work spans full stack development, data science, and artificial intelligence, grounded in strong data analysis and statistical thinking.

I'm especially motivated by challenges in medicine, healthcare, and life sciences—domains where technology can make a real impact. I’ve built projects ranging from AI-powered educational platforms to predictive models for environmental systems and biological datasets.

With an MS in Computer Science and a PhD in Biological Sciences, I bring a unique interdisciplinary perspective to every problem I tackle.