About

Ganesh Ravi is an experienced Software Development Engineer III at Amazon, with a focus on distributed systems, big data, and microservices. He has a strong background in Java, Kotlin, Scala, and Python, and is proficient in AWS cloud services. Ganesh is also interested in the field of AI and ML, and has been exploring this area recently. At Amazon, Ganesh has worked on several projects, including AWS SageMaker, where he is advancing SageMaker GT. He has also contributed to the development of Amazon Go, a futuristic shopping experience involving computer vision. Additionally, Ganesh has worked on Alexa, building multitasking and widget features, and on Prime Video, where he built the preview video experience and moved the video engagement system to a single global catalog. He has also contributed to FireTV, working on the partnership between Tata Sky and FireTV, building FireTV Recast, and developing a command queueing library for Android, as well as a DSL to build S-expression and ANTLR parser. Prior to joining Amazon, Ganesh worked as a Software Engineer at Indix, where he owned and maintained a batch processing product detail extraction system, and brought the first-ever Kafka streaming infrastructure and replaced the MR cluster. He also built a system to gather real-time product prices across online e-commerce sites. At Indix, Ganesh worked with Hadoop, MapReduce, Kafka, Samza, Yarn, Zookeeper, Scalding, HDFS, HBase, S3, and Scala. He also worked on the Parsing Team, where he developed and maintained the parsing infrastructure using Mesos and Node.js. Ganesh holds a Bachelor of Technology in Computer Science from Sastra University. His tech stack includes software engineering, AWS, SageMaker, MapReduce, Kafka, AI, infrastructure, big data, HDFS, ML, microservices, Javascript, computer vision, Scala, Python, and Android. Ganesh has 8.44 years of relevant experience in the industry and is an active Github user, with his profile available at http://www.github.com/gpravi.