Manoj Maurya
About Manoj Maurya
Manoj Maurya is an Interview Coordinator at the Indian Institute of Technology, Bombay, with a background in computer science and engineering. He has experience as a Teaching Assistant and has worked as an entrepreneur, focusing on differential privacy in deep learning models.
Current Role at Placement Office, IIT Bombay
Manoj Maurya serves as the Interview Coordinator at the Placement Office of the Indian Institute of Technology, Bombay. In this role, he is responsible for coordinating interview processes and ensuring a smooth experience for both students and recruiters. His work involves managing logistics and maintaining communication between various stakeholders involved in the placement activities.
Previous Experience as Teaching Assistant
Manoj Maurya worked as a Teaching Assistant at the Indian Institute of Technology, Bombay for a duration of seven months in 2021. During this time, he was involved in teaching the course 'CS 228 Logic for Computer Science'. His responsibilities included assisting in course delivery, grading, and providing support to students in understanding complex concepts.
Entrepreneurial Background
Before joining IIT Bombay, Manoj Maurya was self-employed as an entrepreneur from 2016 to 2021. During this five-year period, he developed skills in business management and operations while navigating the entrepreneurial landscape in India.
Educational Qualifications
Manoj Maurya holds a Bachelor of Technology (BTech) in Computer Engineering from Bundelkhand University, Jhansi, which he completed from 2016 to 2020. He further pursued a Master of Technology (MTech) in Computer Science and Engineering at the Indian Institute of Technology, Bombay, graduating in 2023. His academic background provides a strong foundation in computer science principles and practices.
Expertise in Privacy and Deep Learning
Manoj Maurya focuses on differential privacy, a significant area within the field of security and privacy-preserving deep learning. His work involves ensuring the confidentiality of individual data in the context of deep learning models, contributing to advancements in secure data handling and privacy protection.