About

Ajay Kumar Nagaraj is a highly skilled IT Solutions Architect with over 8 years of experience in the industry. He currently works as a Software Engineer II at Bosch Center for Artificial Intelligence (BCAI) where he specializes in Cloud, DevOps, and MLOps. In his current role, Ajay has deployed containerized Deep Learning workloads using Azure Machine Learning, Azure Kubernetes Service, and Function Apps. He has also built end-to-end Continuous Integration and Continuous Deployment pipelines using Jenkins, Docker, and Kubernetes in a hybrid cloud setup. Additionally, Ajay has deployed Deep Learning models to micro-controllers using Apache TVM and devised partitioning strategies to efficiently run large-scale Spark workloads. He has also built and deployed Data Pipelines using Spark and Airflow. Prior to working at Bosch, Ajay worked at LatentView Analytics as a Software Engineer II. In this role, he analyzed data present in AWS Redshift using S3, Glue, Athena, and RS Spectrum. He also provisioned EMR analytics workloads from Data Lake in S3 and developed scalable Data Analytics Platforms. Ajay has developed advanced analytics prototypes and custom parsers for parsing JSON to SQL. He has also generated accurate forecasts using advanced machine learning algorithms and developed and designed a large Flask RESTful API from scratch for a platform that does Customer Lifetime Value (CLV) prediction. Ajay holds a Bachelor's Degree in Electrical and Electronics Engineering from SSN College of Engineering. He is highly skilled in a variety of technologies including Software Engineering, Deep Learning, Spark, CI/CD, Kubernetes, Azure, Apache Airflow, SQL, AWS, Docker, Jenkins, Integration, DevOps, Senior Software Engineering, Amazon Athena, ML, and Flask. Overall, Ajay is a highly skilled IT Solutions Architect with a wealth of experience in Cloud, DevOps, and MLOps. He is a valuable asset to any team and is committed to providing high-quality solutions to complex problems.