Karthik Mudlapur

1. Support in the conception, development and operation of Analytics solutions in Agile DevOps processes 2. Collaboration on building an analytics environment as part of Schaeffler digital platform 3. Evaluation of Azure cloud services to build, manage and deploy machine learning applications using different tools and frameworks.

1. Capturing image data of various mechanical components in different lighting conditions. 2. Building several deep neural network architectures in Tensorflow and Keras to find the best fit. 3. Using transfer learning to use some of the standard Neural network architectures. 4. Comparison of different architectures to find the best fit model to be used in production. 5. Serving the deep learning models through Python’s flask web framework.

Big data and Machine learning intern in Strategic IT department with focus on Exploratory data analysis and data visualisation.

Preparation of basic engineering flow sheets, checking of all the piping layout drawings and also creating the material requisition for piping and supports materials. Plan the various activities of the fluid department from the estimation stage to the closure stage until subsequent hand over to the client and also approval from the consultants in some projects. Independently handling the discussions with clients from Italy, Iran and Thailand during design & conceptual stage of the plant design.

As a trainee engineer, worked in the Project Management as well as engineering technical office.

Focus on assembly line of Fuel Injection Pumps ( PF45 and PF51 ).

Advanced computational data analytics and Data mining, Project management and data analytics, Big data and databases

Manufacturing Processes, Operations Research, Entrepreneurship and Management, Industrial Management