With over 15 years of experience in software development, I bring a strong technical foundation in Java and Python, complemented by deep domain expertise in clinical research and data management. Over the years, I have evolved from a software developer into a seasoned Clinical Data Manager and, more recently, a Data Scientist—bridging technology and clinical research to drive smarter, more efficient research outcomes.

My experience spans managing complex clinical studies across diverse disease areas including tuberculosis (TB), malaria, visceral leishmaniasis (VL), HIV, mycetoma, and Buruli ulcer, supporting drug, diagnostic, and vaccine trials. I am particularly passionate about advancing automation within clinical data management and leveraging artificial intelligence to enhance data quality, accelerate insights, and optimize trial operations.

By combining strong programming expertise with hands-on clinical research experience, I focus on building intelligent, scalable solutions that improve research efficiency and support innovation within the pharmaceutical and global health sectors. My work is driven by a commitment to transforming clinical data into actionable intelligence that ultimately strengthens evidence-based healthcare.