About

Mragank Shekhar is a highly skilled software engineer with expertise in distributed systems, big data, and recommendation engines. He has contributed to several open-source projects and is committed to delivering highly scalable, efficient, and clean code. With a relevant experience of 5 years, Mragank has a deep understanding of Python, DRF, TypeScript, JavaScript, Node.js, Java, SQL/NoSQL Databases, and React.Currently, Mragank is working as a Software Engineer at Rattle, a Sequoia-backed enterprise software company. As a Founding Engineer at Rattle, he is leading the development of the company's flagship product. His contributions have been instrumental in making it easier to interact with enterprise software. Prior to Rattle, Mragank worked as a Data Engineer at Amazon. During his time at Amazon, he worked on a proof of concept to optimize the overall resource utilization of the redshift cluster using custom curated datasets. He also designed an end-to-end system for identifying patterns, matching logically similar redshift queries, and ranking the results for creating curated datasets. Additionally, he optimized a spark data pipeline, reducing the overall execution time of the pipeline by four times.Mragank has also worked as a Student Developer at Google Summer of Code. During his time there, he worked with the ArviZ community to extend Dask support inside the ArviZ library. He helped the library to scale on a single and distributed machines when using larger-than-memory datasets and added documentation for using Dask functionality.Mragank earned his Bachelor of Technology in Computer Science from Bennett University in 2021. He is skilled in a variety of technologies, including Software Engineering, Javascript, SQL, Big Data, Typescript, NoSQL, NodeJS, Python, Java, Data Engineering, and Spark. With his deep understanding of software engineering and his commitment to delivering high-quality code, Mragank is an asset to any team.