Sanjith B.
About Sanjith B.
Sanjith B. is a Software Engineer specializing in Backend development with Java, currently employed at Sinch since 2023. He has experience in designing microservices for high transaction volumes and has worked in various roles across multiple companies, including a Master's degree in Image Analysis and Machine Learning from Uppsala University.
Work at Sinch
Sanjith B. has been employed at Sinch as a Software Engineer specializing in Backend Java since 2023. In this role, he has designed and deployed microservices that manage approximately 80 million transactions per month, specifically for delivering Rich Communication Services (RCS) messages and notifications. His responsibilities include acting as a focal resource for the development and maintenance of these microservices, ensuring they operate effectively within the system.
Education and Expertise
Sanjith B. holds a Bachelor's degree in Computer Science & Engineering from the Indian Institute of Technology, Kharagpur, where he studied from 2014 to 2018. He furthered his education at Uppsala University, earning a Master's degree in Image Analysis & Machine Learning from 2020 to 2022. His academic background provides a strong foundation for his expertise in software engineering and backend development.
Background
Prior to his current position at Sinch, Sanjith B. gained valuable experience in various roles. He worked as a Development Architect at Standard Chartered from 2018 to 2020, where he contributed to software development projects. He also served as a Master Thesis intern at SpearPoint Analytics in 2022, focusing on software engineering practices. His earlier experience includes a project internship at Imint Vidhance and a summer internship at Societe Generale Global Solution Centre.
Achievements
During his career, Sanjith B. has demonstrated strong problem-solving skills, particularly while managing issues in the RCS system that arose from multiple teams. He has conducted peer-to-peer code reviews to ensure code quality and adherence to best practices. Additionally, he performed load testing on a monolithic API to optimize the system for low latency and high throughput, showcasing his technical capabilities in software performance optimization.