About

Mohammad Anas Siddiquei is a highly skilled Software Engineer currently working as a Senior Software Engineer at Soroco. With over 4.6 years of relevant experience, he has a deep understanding of web applications and MVC architecture. Anas is proficient in building Backend services, Rest APIs, Angular apps, and basic tools like git. He has experience in developing, deploying, and maintaining web apps to Heroku. Anas has also delivered several freelancing tasks and had a stint with doing a startup, which showcases his entrepreneurial spirit and passion for software development. As a self-driven and all-time learner, Anas is proactively ready to get on with new techniques and ideas to upgrade himself and deliver value at the end of the day. In his previous roles, Anas has worked with Tapclicks as an Application Engineer, where he created and maintained a unified dashboard for all digital marketing platforms to automate and enhance reporting using Angular, Vue, and PHP. He has also worked with Wipro as an Associate Consultant, where he worked on RSA's eGRC product - RSA Archer. He built modules for custom object requirements and performed API integration from Archer's API to fulfill custom tasks. Anas acquired functional knowledge on eGRC domain during his tenure with Wipro. Anas has a Bachelor of Technology (B.Tech.) degree in Computer Science from ITM University, Gwalior, and has completed a course in Computer Science from Scaler Academy. He has also completed his Higher Secondary Graduate and Secondary Graduate from Motilal Nehru Public School, Jamshedpur. Anas's tech stack includes Software Engineer, Python, Web, Javascript, Backend, PHP, AngularJS, Spring Boot, Spring, and Integration. His current work at Soroco involves migrating and enhancing python-based automation platforms to the latest framework. Anas has worked on new change requests and completely automated the flow of auto insurance endorsement. He has optimized the code through multiple change requests after migrating to the latest framework, which helped the client manage work orders with 100% accuracy and lowered handling time by 71%.