A Machine Learning Engineer with extensive experience in data preparation, model training, evaluation and deployment. I bring expertise in areas such as computer vision, object detection and tracking, image segmentation, pose estimation, model optimization, and large-scale deployment. My technical acumen also covers MLOps and deploying solutions on both cloud and on-prem infrastructure, utilizing best practices in software engineering with tools such as GitHub CI/CD, PRs, Docker, and Kubernetes.Throughout my career, I have had the opportunity to lead numerous impactful projects. At Luminar Technologies, I managed the entire ML pipeline development, ensuring scalable model training and robust infrastructure management. At Quantiphi Inc., I played a vital role in deploying ML solutions across various platforms, enhancing client outcomes, particularly in enhancing operational safety within the amusement park industry. I am committed to leveraging my extensive experience to create transformative solutions that drive growth, efficiency and innovation. Whether through consulting on best practices, leading cross-functional teams, or developing cutting-edge models, my goal is to add significant value to your organization.