About

Sushilkumar Yadav is a highly skilled Software Research & Development Engineer at Jio Platforms Limited with over 3 years of relevant experience. He is a Research Scientist and Software Engineer with a strong background in Machine Learning, Deep Learning, Software Engineering, Computation, Image Processing, and Signal Processing. Sushilkumar is known for coining the term MMCD-VAE, which is a new version of VAE. Sushilkumar has extensive experience in developing digital platforms and has worked with agile/scrum methodologies. He is an effective communicator with excellent interpersonal, logical thinking, and analytical abilities. Sushilkumar has a strong knowledge of object-oriented design, coding, testing patterns, and programming languages such as Python and Java. He has an evident ability to learn, grasp, and process new information and materialize the same in the real world. Sushilkumar is also proficient in expressing technical concepts to people with no technical background. Currently, Sushilkumar works at Jio Platforms Limited, where he researches software development options POC and provides analysis for the product development direction. He builds scalable SaaS/PaaS platforms using Microservices/Distributed systems architecture using Restful API’s (Python-Django/Flask and JAVA- SpringBoot and Spring MVC). Sushilkumar maintains code integrity and has owned the responsibility for platform development using open source, made it production-ready, and delivered it on time. He has also worked on API Gateway development using WSO2 and NGINX, Azure API Management, and set up WSO2 Analytics Server to get API consumption statistics report, WSO2 BPS Server to register BPM workflow, Multitenancy, OpenLDAP, WSO2 databases using MySQL. Sushilkumar has set up multiple nodes (Traffic Manager, Key Manager, API Gateway) in distributed deployment for API manager and has written custom code in WSO2 integration studio to add the required business functionality in the WSO2 setup. He has also configured NGINX for multi-reverse proxy from a single port. Prior to his current position, Sushilkumar worked as a Research Assistant at Xavier Institute of Engineering, where he was a member of the project team working on EEG signal analysis sponsored by Mumbai University. He has also worked on Generative models and their implementation in Object recognition and implemented deep learning algorithms such as CNN on the given dataset. Sushilkumar has experience in writing Python code for machine learning and deep learning