About

Ritesh Sangwan is a highly skilled Senior Software Engineer with over 8 years of experience in developing scalable distributed systems. He has an in-depth understanding of complex interconnected resilient services and has spent 3 years working on search technologies such as Elasticsearch and Solr. Additionally, he has 2 years of experience working on data ingestion pipelines using Hadoop, Spark, and Spark Streaming. Ritesh is proficient in JavaSE, JavaEE, Spring, SQL, and has expertise in streaming systems such as Kafka and SQS. He has also worked with message brokers like RabbitMQ and has experience working with various database systems including SQL, NoSQL, Time-series, and Distributed. Ritesh is well-versed in cache systems like Redis, Aerospike, and JVM Based caches. He has a keen interest in open source technologies and is always open to exploring new technologies. Currently, Ritesh is a Senior Software Engineer at Uber, where he has been working on developing and maintaining their distributed systems. Before joining Uber, Ritesh worked as a Computer Scientist at Adobe, where he was responsible for translating product requirements into feasible technical solutions. He also worked as a Team Lead at Monster India, where he developed search algorithms and improved search ranking using semantic search. Ritesh holds a Bachelor of Technology (B.Tech.) in Computer Engineering from Guru Ghasidas University. He is a skilled researcher and has a deep understanding of microservices architecture. Ritesh has relevant experience of 8.79 years in the field of Software Engineering, SQL, Search, Spark, Redis, RabbitMQ, NoSQL, Hadoop, Elastic Search, Kafka, Spring, Research Scientist, Microservices, and Senior Software Engineer. His latest interest is feedback loops on search systems to improve user search experience.