Saloni Shah

Saloni Shah

Senior Software Engineer @ Broad

About Saloni Shah

Saloni Shah is a Senior Software Engineer at the Broad Institute of MIT and Harvard, where she has worked since 2021. She holds a Master's degree in Computer Science from Northeastern University and has extensive experience in full-stack development and big data technologies.

Work at Broad Institute

Saloni Shah has been a Senior Software Engineer at the Broad Institute of MIT and Harvard since 2021, contributing to various projects in Cambridge, Massachusetts. Prior to this role, she worked at the Broad Institute as a Software Engineer from 2019 to 2021 and as an Associate Software Engineer in 2018. Her experience at Broad encompasses a range of responsibilities that leverage her expertise in full-stack development and collaboration with product owners to align technical solutions with business objectives.

Education and Expertise

Saloni Shah holds a Master's degree in Computer Science from Northeastern University, where she studied from 2015 to 2017. She also earned a Bachelor's degree in Computer Engineering from Nirma University, completing her studies from 2011 to 2015. Her educational background has equipped her with a strong foundation in software development, and she has developed expertise in various programming languages, including Scala, C#, Java, and PHP.

Professional Background

Saloni's professional journey includes diverse roles in software development. She served as a Software Developer Co-op at GMO for six months in 2016 and worked as a Graduate Teaching Assistant at Northeastern University in 2017. Additionally, she gained experience as a Power Product Development Intern at Genscape, Inc. in 2017. These positions have contributed to her skills in project management and her proficiency in using tools such as JIRA and Jenkins.

Technical Skills and Interests

Saloni Shah possesses a strong skill set in full-stack development and is proficient in cloud services, particularly Amazon Web Services, including S3 and EMR. She has experience with big data technologies such as Hadoop, MapReduce, and Spark. Her interests include parallel data processing and database management, reflecting her passion for solving complex problems through creative and technically rigorous approaches.

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