Manan Shah
About Manan Shah
Manan Shah is a Software Development Engineer 1 at Cashfree Payments, specializing in computer vision and deep learning. He holds a Bachelor's degree in Computer Science from the Indian Institute of Technology, Mandi, and has experience working with prestigious organizations including Microsoft and IIT Bombay.
Work at Cashfree Payments
Manan Shah currently serves as a Software Development Engineer 1 at Cashfree Payments, a position he has held since 2023. He is based in Bengaluru, Karnataka, India. In this role, he contributes to the development and enhancement of software solutions, applying his skills in computer science to support the company's payment processing services.
Education and Expertise
Manan Shah earned his Bachelor's degree in Computer Science from the Indian Institute of Technology, Mandi, completing his studies from 2019 to 2023. His education provided a strong foundation in various aspects of computer science, equipping him with the knowledge necessary for his current role in software development.
Background
Prior to his current position, Manan gained valuable experience through various roles. He worked as a Research Project Assistant at the Indian Institute of Technology, Bombay for four months in 2023. Additionally, he completed a Software Engineer Internship at Microsoft in 2022, where he worked for two months in Hyderabad, Telangana, India. His earlier experience includes a Research Project at IIT Mandi and a role as a Teaching Assistant in 2021.
Research and Projects
Manan Shah has engaged in significant research activities, including a domain adaptation project under the guidance of Professor Biplab Banerjee at IIT Bombay. His interests lie in collaborating on projects related to computer vision and deep learning, areas in which he aims to address real-world problems through innovative solutions.
Personal Blog and Insights
Manan maintains a personal blog where he shares insights and experiences related to his field of study and work. This platform allows him to communicate his thoughts on computer science topics, particularly in computer vision and deep learning, and to engage with a broader audience interested in these subjects.