With over six years of experience in solving business problems using AI solutions, I excel in developing and deploying AI models across diverse applications, including computer vision, NLP, time series forecasting, speech processing, cybersecurity, and GenAI solutions. I have led the creation of innovative solutions, such as a widely-used wall segmentation tool for a Kotlin app, a graph-based incident model, and a novel IOU-based loss function and metric function. I leverage machine learning (ML) and deep learning (DL) techniques to work with large or custom datasets, utilizing pre-trained models or creating custom models from scratch. My process includes training, validating, and testing on various datasets, building pipelines from scratch, and serving models. I employ MLOps techniques to deploy and scale solutions, with experience in Kubernetes, Docker, Databricks, and Azure-based cloud services. Currently, I lead a Data Science team, overseeing and training its members, and have previously mentored a student from IISc during an internship. My strength lies in communicating complex technical concepts in an accessible manner, ensuring clear understanding for both peers and clients. Dedicated to staying at the forefront of AI advancements, I consistently deliver impactful and cutting-edge solutions. My blend of technical expertise, leadership, and communication skills makes me a valuable asset to any team and project.