Sharvari Raut
About Sharvari Raut
Sharvari Raut is a Technical Writer with extensive experience in documentation and data analytics. She has worked for various companies, including Upraised and Honeybadger, and actively contributes to open source projects in machine learning and computer vision.
Work at LogRocket
Sharvari Raut has been employed at LogRocket as a Technical Writer since 2021. In this role, she focuses on creating clear and concise documentation that enhances user understanding of the company's products. Her work supports the development of user guides, API documentation, and other technical materials that facilitate effective product usage.
Current Role at Upraised
Since 2021, Sharvari Raut has been serving as an Embark Fellow in Data Analytics at Upraised. This position involves engaging with data analysis projects, where she applies her analytical skills to derive insights and support decision-making processes. Her experience in this role contributes to her overall expertise in technical writing and data analytics.
Previous Experience in Technical Writing
Sharvari Raut has held several positions as a Technical Writer prior to her current role at LogRocket. She worked at DeepSource, Analytics Vidhya, and CherCher.tech in 2021, where she developed documentation and technical articles. These experiences have equipped her with a strong foundation in technical communication and the ability to convey complex information effectively.
Educational Background
Sharvari Raut completed her Bachelor of Technology in Computer Science at Nutan College of Engineering & Research from 2018 to 2022. She achieved a BTech degree during her studies. Prior to that, she attended IES King George, where she completed her Secondary School Certificate with an 86% score. Additionally, she studied at Wilson College, achieving 81.5% in her Higher Secondary Certificate.
Research and Open Source Contributions
Sharvari Raut is currently working on a research paper, indicating her involvement in academic or scientific research. She actively contributes to open source projects, particularly in machine learning and computer vision. Her engagement in these areas reflects her commitment to advancing her knowledge and skills in technology.