Mitali C.
About Mitali C.
Mitali C. is a computer scientist with a background in software development and engineering. She has worked for notable companies such as Microsoft, Oracle, and Adobe, contributing to various projects focused on enhancing performance and efficiency in cloud services.
Work at Adobe
Currently, Mitali C. serves as a Computer Scientist at Adobe, a position she has held since 2021 in Noida, Uttar Pradesh, India. In her role, she has contributed significantly to the Adobe Document Cloud team. Mitali specializes in designing and deploying low latency, high-performance distributed machine learning cloud services. She has also designed and built an auto-scalable async CPF-based microservice for Adobe Express, which enhances PDF conversion efficiency and user customization capabilities. Additionally, she has been involved in developing back-end workflows for Adobe's PDF services, focusing on Extract and Liquid-Mode functionalities to improve performance.
Education and Expertise
Mitali C. has a solid educational background in engineering and science. She earned a Bachelor of Engineering (BE) in Information Science from the Bangalore Institute of Technology, completing her studies from 2010 to 2014. Prior to her engineering degree, she attended Emmanuel Senior Secondary School, where she studied Physics, Chemistry, and Mathematics, achieving her Senior School Certificate Examination from 2009 to 2010. She also completed her Secondary School Certificate at Dungarpur Public School from 2007 to 2008.
Background
Mitali C. has accumulated diverse work experience in the technology sector. Before joining Adobe, she worked at Microsoft as a Software Engineer II for eight months in 2020. Her career also includes a role as an Associate Consultant at Oracle in Bengaluru, where she worked for 11 months from 2014 to 2015. Additionally, she spent five years at Druva as a Staff Software Developer from 2015 to 2020 in Pune, Maharashtra, India.
Achievements
Throughout her career, Mitali C. has made notable contributions to various projects in the technology field. At Adobe, she played a key role in enhancing the efficiency of PDF conversion and user customization through her work on an auto-scalable async CPF-based microservice. She is also recognized for her contributions to the development of back-end workflows for Adobe's PDF services, particularly in the areas of Extract and Liquid-Mode functionalities, which aim to boost performance and efficiency.