ABOUT

My journey into AI is driven by a fascination with building things that can see, learn, and assist. While my academic background in Data Science provided the theoretical foundation, my professional focus is on creating practical, user-centric AI tools. At SM Technology, I architect these systems from the ground up, specializing in microservices-based backends with FastAPI and RAG to build intelligent agents that are not just smart, but also reliable and scalable. Beyond my day-to-day work, I maintain a deep passion for computer vision research, authoring papers on medical imaging and agriculture. I believe the most interesting challenges lie at the intersection of research and real-world application. This drive to build extends beyond code—I've volunteered teaching street children and actively participate in competitive platforms like Kaggle, always seeking to use technology for tangible impact