About

Naresh Reddy Gangireddy is a skilled Data/Machine Learning Operations Engineer with over 6 years of relevant experience in building big data pipelines, ML pipelines, and deploying machine learning models in AWS and Azure. He is currently working as a Senior Consultant - AIOps at AstraZeneca, where he is responsible for designing and implementing ML pipelines and deploying machine learning models as a REST API using AWS Sagemaker, AWS ECR, Docker, and API Gateway. Naresh has previously worked as a Data Engineer and Senior Software Engineer at Tiger Analytics, where he designed and built ML pipelines and deployed Machine Learning models as a REST API using AWS Sagemaker, AWS ECR, Docker, and API Gateway. He also built CICD pipelines to deploy machine learning models using AWS Codepipeline, ECR, and AWS Sagemaker. Additionally, he built data pipelines and data quality frameworks using Azure ADF and Databricks. Naresh holds a Master's degree in Computer Science from VIT, where he gained expertise in ML, AWS, Data Engineering, Azure, Big Data, Sagemaker, Software Engineering, AWS ECR, Databricks, and Docker. He is a highly motivated, detail-oriented, and results-driven professional who is passionate about leveraging technology to solve complex business problems. Naresh's technical skills, combined with his experience in building ML pipelines and deploying machine learning models, make him an invaluable asset to any organization. He is committed to staying up-to-date with the latest developments in the field of data science and machine learning, and is always eager to learn new skills and technologies.