Vijay Prabhu M.

Vijay Prabhu M.

Software Engineer @ Arteria AI

About Vijay Prabhu M.

Vijay Prabhu M. is a Software Engineer currently working at Arteria AI in Toronto, Canada, with expertise in caching and messaging systems, programming languages, and software development frameworks. He has a strong background in database optimization, mentoring, and project management, with previous experience at Zoho for nine years.

Work at Arteria AI

Vijay Prabhu M. has been employed as a Software Engineer at Arteria AI since 2024. He works remotely from Toronto, Ontario, Canada. In this role, he applies his skills in software development and optimization, contributing to various projects within the organization.

Education and Expertise

Vijay holds a Master of Computer Applications (MCA) from SSN College of Engineering, where he studied Computer Science from 2011 to 2014. He also completed a program in Information Technology (IT) Connections at Toronto Metropolitan University in 2024. His educational background supports his proficiency in various programming and scripting languages, including Java, C, C++, JavaScript, Bash, and PowerShell.

Background

Before joining Arteria AI, Vijay worked at Zoho for nine years, starting as a Project Trainee in 2013 and advancing to Member Technical Staff (Senior Software Engineer) until 2023. His experience at Zoho included database optimization, mentoring junior developers, and collaborating with cross-functional teams on product deployments.

Technical Skills and Tools

Vijay is skilled in using caching and messaging systems such as Redis, Memcached, IBM MQ, and Apache Kafka. He has experience with various databases, including MySQL, PostgreSQL, Oracle, Microsoft SQL Server, and Cassandra NoSQL. His technical expertise extends to frameworks like Spring, AngularJS, and Angular4+, as well as containers and orchestration tools like Docker and Kubernetes.

Achievements in Software Development

Vijay has implemented advanced JVM memory management techniques to optimize application performance and has developed engineering auto-discovery algorithms for monitoring solutions. He has also utilized web services using SOAP and RESTful architectures, showcasing his ability to enhance system efficiency and reliability.

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