Amneet Singh
About Amneet Singh
Amneet Singh is a Software Engineer I at Vahan in India, where he has worked since 2021. He holds a B.Tech in Computer Science from Lovely Professional University and has a strong interest in software system architecture and data processing technologies.
Work at Vahan
Amneet Singh has been employed at Vahan as a Software Engineer I since 2021. In this role, he focuses on optimizing batch processing and enhancing fast data retrieval for delivery workers. His work contributes to improving operational efficiency within the company. Singh has been part of the team for three years, applying his technical skills to address the challenges faced by the organization.
Education and Expertise
Amneet Singh studied at Lovely Professional University, where he earned a B.Tech in Computer Science from 2019 to 2022, achieving a TGPA of 8.14. Prior to this, he completed a Diploma in Computer Science at the same university from 2016 to 2019. He also completed a six-month internship as a Software Engineer before graduating. Singh has developed expertise in software system architecture, low-level and high-level design, and building data ingestion pipelines to manage heavy data loads.
Background
Amneet Singh has a strong foundation in computer science, having pursued his education at Lovely Professional University. His academic journey includes both a diploma and a bachelor's degree in the field. This educational background has equipped him with the necessary skills and knowledge to excel in software engineering roles. Singh's interests include reading about software engineering and exploring abstract concepts within the discipline.
Technical Skills
Amneet Singh possesses a diverse skill set in various technologies relevant to software engineering. His proficiencies include Java, Redis, Spring Boot, RabbitMQ, DynamoDB, NodeJs, ReactJs, and Postgres. These skills enable him to contribute effectively to projects involving data processing and system architecture, particularly in optimizing data handling and retrieval processes.