Full stack data scientist working with a Fortune 500 company as a Staff Machine Learning Engineer. Currently, leading a team of data scientists, data engineers and API developers in order to build state of the art AI driven products. Possess skillset pertaining to the entire data lifecycle and completely hands-on both in data engineering and machine learning technology stack in addition to having capabilities of managing and growing data science/data engineering teams. Strive to build scalable data products and create an overall data strategy for extracting maximum potential out of the organisation’s data. Core Skills: Tech Stack: Machine Learning, MLOps using Mlflow, Cloud Engineering, ETL pipelines, Airflow, Deep Learning , Tensorflow, MLDeployment, Docker, Kubernetes, AWS Fargate, AWS ECS, Load Balancer, API gateway, Apache Kafka, AWS Lake Formation, AWS Glue