About

Navneeth Jayendran is a highly skilled Backend Software Developer with over 5 years of experience in the industry. He is currently working as a Senior Software Engineer at Affirm, where he is responsible for developing microservices and working on an undisclosed team. Navneeth has a primary focus on developing highly efficient, performant, and scalable software solutions for big and novel problems. He strives to gain in-depth insight into the end-to-end product requirements and architecture of his projects, and he approaches solutions with efficiency and performance in the forefront. Navneeth has experience with Android app development, web frontend development, and is actively seeking full-time job opportunities as a software engineer. He is also open to embedded software development roles. Navneeth possesses a broad range of skills, including primary languages such as Java, C, Python, Go, C++, JavaScript, Shell, HTML, and CSS. He is also proficient in secondary languages such as Rust, Haskell, and Ruby. Navneeth has experience working with frameworks such as ReactJS, Java Spring, and Dropwizard, and databases such as Cassandra, MySQL, PostgreSQL, Elasticsearch, and MongoDB. Navneeth's expertise extends to BigData & Cloud, where he has experience working with Spark and AWS. He has worked with companies such as Fast and Uber, where he held roles such as Back End Developer and Software Engineer, respectively. At Fast, Navneeth worked primarily on Golang, while at Uber, he worked on Java and Go microservices. He also briefly worked on Android app and internal web frontends at Uber. Navneeth holds a degree in Engineering Physics and Computer Science from the University of Illinois, where he completed his studies in 2018. He is a skilled Software Engineer with a broad range of experience in Backend, AWS, Frontend, Spark, Java, Microservices, Web, Javascript, MySQL, MongoDB, Cassandra, Elastic Search, and Spring. Navneeth is a highly motivated individual who is passionate about developing software solutions that are efficient, performant, and scalable.