About

Anand Kumar is a highly skilled Software Engineer 2 at Microsoft with over 10 years of relevant experience. He possesses a strong understanding of distributed architectures and systems that need to work on scale. Anand has worked on several features and third-party integrations using Spring MVC and Java. He has good knowledge of caching, enterprise message queues such as Kafka, and fault-tolerant systems. Additionally, Anand has a basic understanding of Python and JavaScript. Currently, Anand is working as an individual contributor for the employee performance and feedback tool at Microsoft. He has worked on several enhancements and improvements in the system and has led a small team of 4 people to build a University Recruitment portal. Anand is also a part of the new team that is building a data lake from scratch, which includes external course details sponsored and managed by Microsoft. In his past roles, Anand worked as a Senior Software Engineer at Paytm, where he was part of the Central Authorization module under User platform. He worked on several enhancements and feature roll-outs, including designing, code, and code reviews. Anand also worked on cache re-modelling to use it efficiently and sustain heavy load and code refactoring of the user module. Anand has a good understanding of distributed architectures, scalable systems, and the associated challenges. Additionally, he worked as a Software Engineer Level 1 at FirstRain, where he designed, developed, tested, and provided production-ready modules to be consumed by the business analytics end product using Java as a coding language, MySQL, MongoDB, and Solr as DBs. Anand holds a Bachelor of Technology (B.Tech.) degree in Computer Science from YMCA Institute of Engineering, Faridabad, Haryana. He also attended Kendriya Vidyalaya for his schooling. Anand's tech stack includes Software Engineer, Spring, Java, Kafka, Redis, MySQL, JavaScript, test, Python, New Relic, MongoDB, Cassandra, and Web. Overall, Anand is a highly skilled and experienced software engineer with a strong understanding of distributed architectures and systems that need to work on scale.