Shubham Singh has had diverse work experience in various companies. Shubham is currently working as an Agile Software Engineer at TribalScale, where they are involved in developing backend services for delivering digital content to autonomous vehicles. Their role includes using cutting-edge technologies like AWS Serverless Computing to achieve project objectives.
Prior to their current role, Shubham worked at SAP as an Associate Developer from 2018 to 2020. Shubham was part of a scrum team and contributed to the development of a cloud-native SaaS application for order management. Their responsibilities included designing and implementing services and models, enhancing microservices, improving application logging functionalities, and implementing unit tests. Shubham also gained proficiency in SAPUI5 framework for UI implementation.
Before joining SAP, Shubham worked as a Software Developer Intern at SAP in 2017. Shubham also has experience working as a Teaching Assistant at Concordia University in 2016, where they assisted in educational activities. Additionally, they worked as a Front-end Developer at Cogan Wire and Metal Products for a brief period in 2016.
Shubham's early work experience includes working as an Assurance Associate at Ernst & Young from 2012 to 2014. In this role, they designed and built a web portal for whistle-blower mechanism, reviewed client processes, investigated fraud, analyzed SQL and XML databases, and made recommendations based on the identified loopholes.
Throughout their career, Shubham has gained expertise in various technologies like AWS Serverless Computing, JavaScript, HTML5, CSS3, jQuery, Bootstrap v3.3.6, MySQL, and XML databases.
Shubham Singh completed their Bachelor of Technology (B.Tech.) degree in Electronics and Communications Engineering from Jaypee University of Engineering & Technology, Guna. Shubham pursued this degree from 2008 to 2012. Following this, they furthered their education by obtaining a Master's degree in Computer Science through a program titled Master of Applied Computer Science. This was completed from 2015 to 2017.
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