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Sarang Raghavendra
In permanent beta: learning, improving, evolving | Worked on Docker, AWS, NodeJS, PHP, Python, NoSQL, RESTful
About
Sarang Raghavendra is a Senior Software Engineer I at Rakuten India Ltd with over 6 years of relevant experience. He is a versatile, reliable, and efficient professional who has supported managers and executives in high-paced environments. Sarang has established operations leveraging his expertise in organization, computer networking, and problem-solving to provide exceptional user support and assistance in resolving conflicts. He possesses excellent phone and digital communication skills. Sarang has a diverse technical skill set that includes languages such as Java, C#(.NET), Python, PHP, C, C++, and Selenium. He is proficient in scripting languages such as Unix, Perl, JavaScript, NodeJS, ExpressJS, SocketIO, AngularJS, React, Reflux, and RESTful. Sarang has experience working with databases such as Oracle, MYSQL, and MongoDB, and frameworks such as CodeIgniter, Laravel, Flask, Vaadin, and .NET Framework. He is also familiar with systems such as Unix, iOS, Android, and Windows, and server technologies such as Apache, NGINX, and Gunicorn. Sarang has experience working with AWS, Artificial Intelligence, Machine Learning, Application Development, B2B Integrations, Enterprise Implementations, Offshore Development Operations, QA & UAT Management, and Release Management. Sarang has provided an end-to-end scalable solution to a client in the education sector by implementing a real-time machine learning model that revolutionized the product, increasing operational efficiency by 80%. He has also orchestrated the deployment of APIs to AWS Lambda and integrated them with various AWS services such as API Gateway, DynamoDB, while monitoring using CloudTrail and CloudWatch, reducing maintenance costs by 20%. Previously, Sarang worked as a Full Stack Developer at Tech Mahindra, where he designed, developed, and tested a web-based real-time notification system using NodeJS, ExpressJS, and Socket IO. He also designed, developed, and deployed an adaptive engine for pedagogy in a real-time environment using a machine learning algorithm for an existing client software using Python, Pandas Data Frame, Flask, NGINX, and Gunicorn. Sarang has worked extensively with AWS services like EC2, S3, IAM, CloudTrail, CloudWatch, CloudFormation, CloudFront, Lambda, API Gateway, and DynamodDB. Sarang has a Bachelor’s Degree in Electronics and Communications Engineering from Vishveshwaraiah Technological University. He also completed his High
Education Overview
• visvesvaraya technological university
• bhavans adarsha vidyalaya
Companies Overview
• rakuten
• tech mahindra
Experience Overview
8.5 Years
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