About

Rishabh Tiwari is a skilled software engineer with a focus on building products and infrastructure for handling billions of requests per day around the globe to have a seamless ad serving. With over 5 years of relevant experience, Rishabh is well-versed in distributed systems, microservices, APIs, data modeling, infrastructure, concurrency, JAVA, Python, Node, SQL, NoSQL, REST, gRPC, ProtoBuf, JSON, Zookeeper, Kafka, MVC, SOA, and Agile. Currently, Rishabh works as a Software Engineer at Rubrik, Inc., where he applies his expertise in building large-scale distributed systems to handle high traffic. Prior to his current role, he worked as a Software Development Engineer 2 at Directi, where he was part of the Media.net's Ad Exchange Team that built high-scale and distributed systems for serving ads in very low latency at the scale of million QPS. He was responsible for designing and implementing high-performance large-scale distributed tier-0 microservices, APIs, data modeling, and systems infrastructure for the ever-growing supply traffic of partners. Rishabh's notable projects include implementing an Ad asset server that supports high QPS, a pricing model for ad networks, an AB Test feature for ad networks, and budgeting Kafka consumers for real-time ad budgeting. In his previous role as a Software Development Engineer at Directi, Rishabh designed and implemented a filter service with roaring bitmap, an audience recommendation system for ad networks, a Redis module for fast filtering, a logging pipeline with Kafka, Kafka streams, Spring Boot, and Aerospike technology, and a custom report RestAPI on top of the Druid cluster. He also implemented an automated test suite for end-to-end testing. Rishabh holds a Bachelor of Technology in Computer Science from the National Institute of Technology Warangal, which he completed in 2018. He is skilled in a wide range of technologies, including Kafka, infra, SQL, microservices, test, dotNET, Python, NoSQL, Java, recommendation systems, Redis, Spring Boot, Spring, RabbitMQ, Javascript, ML, neural networks, Elastic Search, Jenkins, and search.