I am a Machine Learning Engineer III at HP, where I develop and deploy innovative deep learning solutions that enhance HP's Device as a Service (DaaS) offerings. I have a Master of Science in Data Science from Chennai Mathematical Institute, one of the premier institutes for mathematics and computer science in India.In my current role, I have built a user segmentation model based on personal system usage for 20 million users, employing various models, such as LSTMs and self-attention mechanisms. I have also implemented evidential deep learning and SHAP to make robust and explainable models that can optimize product recommendations and increase revenue. Additionally, I have streamlined data processing and storage by using AWS services such as EMR, EC2, and S3.I enjoy collaborating with other teams, such as AB-testing and RCTs, to test and validate our models and deliver high-quality results. I am a firm believer in growth mindset and continuous learning, and I am always eager to explore new techniques and challenges in the field of machine learning. I have completed multiple certifications and courses on sequence models, time series analysis, and prediction, and I have participated in several industry and research projects that involved novel applications of deep learning.I have a demonstrated ability for time management and teamwork, and I am driven by the impact and value that my work can create for HP and its customers. I am passionate about solving real-world problems with data and machine learning, and I strive to leverage my skills and knowledge to contribute to HP's vision and mission.