About

Garima Chhabra is a highly skilled Machine Learning Engineer with over 7 years of relevant experience. Currently working at Adobe Noida, she is responsible for developing a unified platform for compute using technologies such as Docker, Kubernetes, AWS, and containerized compute. Garima is a graduate with a major in Information Technology and has a strong background in compute platform development for Adobe services. She has also created many testing frameworks for different services and integrated them with Jenkins. In her current role as a Computer Scientist at Adobe, Garima has worked on APIs for managing entitlement and provisioning of Adobe product subscriptions. She has also developed the Shadow service, which creates a replica of the PROD environment to test for service behavior on live data before making the service live. Garima has performed performance, load, and chaos monkey testing on services on new infrastructure. She has also worked on APIs to generate and decode unique serial numbers given to customers for activating Adobe products. Garima has previously worked as an intern at Saleometer, where she developed a tool to track sales and payments across marketplaces for sellers. She used PDF invoices from Flipkart, Snapdeal, Myntra, and Limeroad to create sellers' profiles, which helped them scale their business, leaving all tracking to be taken care of. She also created a Dropbox integration so that sellers could put their invoices in the application shared folder. Garima set up AWS compute resources to run Saleometer. Garima's education background includes a Bachelor of Technology in Computer Engineering from the Meerut Institute of Engineering and Technology. Her tech stack includes ML, AWS, Research Scientist, test, infra, Integration, Kubernetes, Docker, Jenkins, ETL, CI/CD, Ruby, Software Engineer, Big Data, and Azure. Garima is a highly motivated and skilled Machine Learning Engineer with a passion for developing innovative solutions and driving business growth.