Azure DataBox R&DAzure Import Export R&D

Azure Data Box R&DAzure Stack Edge R&DAzure Import Export R&D

● Developed an enterprise product using MEAN Stack for flexible and collaborative research on the cloud that allows users to collect, organize, cite and share experiments.● Designed and programmed secure REST API’s to orchestrate the execution of the stored experiments on the go using Docker, AWS and Jupyter Notebooks.● Enhanced the frontend screens to provide functionalities like share to community, social media and utilized Angular Material for a rich seamless UX.

● Developed a MEAN Stack Data Science in Cloud application which provides an effortless way to access and manage limitless computing power in the cloud.● Implemented RabbitMQ messaging system and luigi to maintain stable pipelining of range of use-cases including enterprise VDI, Deep Learning Experiments and rapid prototyping environment to carry out Machine Learning and other Data Science experiments.● Devised and Implemented microservices adhering to RESTful design principles. These microservices acted as endpoints for Machine Learning-As-A-Service for other third-party applications and supported running experiments for R, Python, MATLAB, Spark and TensorFlow.