I'm a software developer and open-source enthusiast currently building powerful wealth-tech software at valuefy. In my spare time, I enjoy creating applications to address various challenges (sometimes even imaginary ones) with the potential to help others. Despite my enthusiasm, my projects often end up in a cold GitHub repository and eventually in the Arctic Code Vault, due to my lack of motivation to promote them. During my college days, my team and I won the Smart India Hackathon 2019 by solving the issue of inconsistent data annotations in medical research. Later, during an internship, I collaborated with Prof. Dr. K. Chandrasekaran at NIT Surathkal, leading to the publication of a research paper on utilizing machine learning models to analyze risk factors in pregnancy that can lead to stillbirths, ultimately aiming to prevent them. I've experimented with various tech stacks, ranging from Web 2.0 (my professional forte) to Web 3.0 (AR/VR, blockchain), creative coding, and machine learning. My diverse experience has honed my ability to quickly learn and adapt, a valuable asset in the ever-evolving tech industry.