Gunalan Deivaganapathy

Gunalan Deivaganapathy

Software Engineer @ Barracuda Networks

About Gunalan Deivaganapathy

Gunalan Deivaganapathy is a Software Engineer at Barracuda in Bengaluru, India, with a background in Python development and experience in optimizing system performance and enhancing data management.

Current Role at Barracuda

Gunalan Deivaganapathy is currently employed as a Software Engineer at Barracuda. Based in Bengaluru, Karnataka, India, he operates in a hybrid work environment. His role involves a variety of software engineering tasks focused on optimizing and developing robust applications.

Previous Experience at Tata Consultancy Services

Gunalan worked as a Software Developer - Python at Tata Consultancy Services from 2022 to 2023. During his one-year tenure in Chennai, Tamil Nadu, India, he worked remotely, focusing on Python development, contributing to various projects that required his expertise in this programming language.

Career at Smruthi Technologies Pvt Ltd

At Smruthi Technologies Pvt Ltd, Gunalan served as a Python Developer from 2020 to 2022. His role was remote, and his work spanned two years in Bangalore Urban, Karnataka, India. He was responsible for developing Python-based applications and other related software engineering tasks.

Early Career at Lyra Infosystems

Gunalan's early career included a position as a Graduate Software Engineer at Lyra Infosystems in 2020. This role, based in Bangalore Urban, Karnataka, India, lasted for nine months and was conducted on-site. He gained valuable hands-on experience during this period, which helped in shaping his subsequent career.

Educational Background

Gunalan completed his Bachelor of Engineering (BE) in Computer Science at KCG College of Technology. He studied from 2015 to 2019, gaining a solid foundation in computer science principles and technical skills that have supported his professional development.

Key Software Engineering Projects

Gunalan has led and contributed to several significant projects. He optimized the performance of a FastAPI Redis cache server microservice, significantly reducing Redis DB client connections. He developed a feature to capture and store client requests and responses in XML files, integrated with AWS S3 and Azure Blob storage. He engineered a reporting feature to provide actionable insights into security statistics and designed a feature to store application configurations as snapshots in a GitHub repository using PyGitHub.

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