About

Meghna Baijal is a highly skilled and experienced Senior Member of Technical Staff at Salesforce, with a wealth of knowledge in AWS, VMWare, and ML. She has a strong educational background, holding a Master's degree in Computer Science from the University of Minnesota and a Bachelor's degree in Computer Science (Dual Degree) and a Master's degree in Economics (Dual Degree) from Birla Institute of Technology and Science, Pilani. Meghna has over 6 years of relevant experience in software engineering, ML, and AI. She has worked with some of the biggest names in the industry, including Amazon, where she held the position of Software Development Engineer 2. As part of the AWS AI organization, Meghna developed various ML platforms such as the AWS Operators for Kubernetes (ACK), Kubernetes Operators for AWS Sagemaker, and Kubeflow Pipeline Components. These platforms make it easier for machine learning developers and data scientists who use Kubernetes as their control plane to train, tune, deploy, and scale machine learning models in Amazon SageMaker. Meghna's technical expertise includes AWS, ML, Kubernetes, Sagemaker, AI, Deep Learning, ECS, CI/CD, Docker, Tensorflow, and Jenkins. She has also been instrumental in the launch of the AWS Deep Learning Containers for Tensorflow & MXNet supported on AWS EC2, EKS, and ECS at the AWS Summit, 2019. Additionally, as a part of the AWS Deep Learning AMI team, Meghna worked on several design optimizations and features to enhance the EC2 Operating System Image for deep learning workloads. Overall, Meghna is a highly skilled and experienced professional with a proven track record of success in the software engineering and ML fields. She is a valuable asset to any organization and is always looking for new challenges to further develop her skills and expertise.