About

Anurag Agarwal is a highly experienced Deep Learning Practitioner with over 10 years of relevant experience in the field. He is currently working as an Assistant Professor at Bharati Vidyapeeth's College of Engineering in New Delhi, where his primary role involves teaching and mentoring students in subjects such as Artificial Intelligence, Machine Learning, Linux Administration, and Discrete Mathematics. Anurag's team of students has worked on projects related to weapon detection in surveillance cameras through deep learning and transfer learning. Prior to his current role, Anurag worked as a Junior Research Fellow at the Indian Statistical Institute in Kolkata, where he focused on Computer Vision and Natural Language Processing. He built and trained deep learning models for tasks such as sentiment analysis, object detection, image classification, language translation, and image captioning. He has also worked as an Assistant Professor at GGS Indraprastha University in Delhi, where he taught subjects such as Data Structures, Algorithm Design, Linux Administration and Programming, Artificial Intelligence, C Programming, and Computer Graphics. Anurag is highly skilled in machine learning and deep learning, with extensive experience in tasks related to classification, regression, clustering, and anomaly detection. He is proficient in using Python and its libraries such as numpy, pandas, scikit-learn, matplotlib, Keras, and Tensorflow to build and train models for problems related to object detection, image classification, sentiment analysis, language translation, and more. Anurag's tech stack also includes expertise in Deep Learning, Sentiment Analysis, Object Detection, ML, Computer Vision, NLP, Research Scientist, Keras, Scikit, Python, Tensorflow, and Pandas. Anurag holds a Master's degree in Software Engineering from DTU and a Bachelor's degree in Computer Science and Engineering from Bundelkhand University. With his vast experience and expertise, Anurag is a valuable asset to any organization looking to leverage the power of deep learning and machine learning.