I am an experienced professional in the field of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) and Block. With a strong background in data analysis, algorithm design, and system implementation, I have been actively involved in Research and contributing to international publications in the domain of AI & ML. I serve as Chief Technology Officer (C.T.O.) at KNIT FINANCE. In this role, I have designed and implemented their main net while ensuring successful token listing on Gate.io exchange platform. I also serve as an Assistant Professor in University of Petroleum and , I am responsible for designing and reporting results from prototype research projects focused on new tools, methods, algorithms, scientific domains, or application areas related to AI and ML. Additionally, I lead the full implementation process of machine learning systems - from generating training data to model design, feature selection, system implementation, and evaluation. Previously working with Primetrade.ai as a Data Scientist allowed me to analyse client data for Copy Trading purposes. Moreover, I was instrumental in designing their decentralized exchange (DEX) along with their state-of-the-art AI-based trading system used extensively across global crypto markets. Furthermore, in collaboration with EY,I served as an Artificial Intelligence Consultant where we built an AI-based application for disease detection in crops by working closely with scientists from ICAR(Emeritus). Our team successfully designed scalable solutions that leveraged advanced technologies such as computer vision techniques.