About

Nilesh Agarwal is a highly motivated and skilled Software Engineer with 2.78 years of experience in the industry. He is currently working at Samsung R&D Delhi, where he has been instrumental in developing cutting-edge software solutions for various projects. Nilesh is an expert in the field of Computer Science and Engineering, and his passion for technology has driven him to excel in his career. Before joining Samsung, Nilesh worked as a Summer Research Intern at the Indian Institute of Technology, Kharagpur. During his time there, he proposed a Relation aware Self-attention based Cascaded CNN-Tree-LSTM (Re-CNN-TLSTM) model for the automatic detection of uncertainty from textual documents belonging to different domains and genres. He also evaluated the proposed model with respect to a series of deep neural network architectures to establish its scalability. Nilesh's work was published in "In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020 (JCDL ’20)." Nilesh has also worked as a Summer Intern at Indian Oil Corporation Limited, where he gained valuable experience in the industry. He has a Bachelor of Technology (B.Tech.) degree in Computer Science and Engineering from the Indian Institute of Information Technology Guwahati (IIIT), where he was an active member of the student community. Nilesh is proficient in a wide range of technologies, including CNN, ML, Mobile, Python, Java, Neural Networks, and C. He is a highly skilled Software Engineer and Research Scientist, with a deep understanding of the latest trends and technologies in the industry. Nilesh is a dedicated and hardworking professional who is committed to delivering high-quality work on time and within budget. He is an excellent team player and has a proven track record of working collaboratively with cross-functional teams to achieve common goals.