About

Shivanshi Dhawan is a highly skilled and experienced software engineer, currently pursuing her Master of Science in Computer Science at the Courant Institute of Mathematical Sciences, New York University. With a keen interest in exploring new technologies and developing new skills, Shivanshi has gained academic experience in software engineering and development, and has 3.5 years of professional experience as a Senior Software Engineer at Samsung Research & Development. During her time at Samsung, Shivanshi was responsible for designing and writing production-level code for large scale systems. She worked on building a distributed system for a proprietary Samsung Storage product, implementing resource-efficient scaling and significantly reducing cluster downtime. Shivanshi also has professional experience with performance optimization for systems and designed features for Samsung Storage Devices that drastically reduced memory footprint and boot time. Her impactful work at Samsung has been recognized multiple times through various awards. Currently, Shivanshi is working as a Graduate Teaching Assistant at New York University, where she is teaching the course CSCI-GA.2437-001: Big Data Application Development. She has also worked as a Graduate Teaching Assistant for the course CSCI-GA.2110-001: Programming Languages. Shivanshi's education history includes a Bachelor's degree in Computer Science from NIT Jalandhar and she is expected to complete her Master of Science in Computer Science from New York University in 2023. With a strong background in software engineering and research, Shivanshi has developed expertise in a variety of areas, including software engineering, research science, and big data. Her tech stack includes skills and experience in software engineering, research science, and big data. Overall, Shivanshi is a highly skilled and experienced software engineer with a passion for exploring new technologies and developing new skills. Her experience in designing and writing production-level code for large scale systems, along with her academic background, make her a valuable asset to any team.