About

Sagar Gupta is a highly motivated data scientist and AI software engineer with extensive experience in advanced machine learning, computer vision, and image processing. He holds an M.Tech degree in Electronics and Communications Engineering from IIIT-Delhi. Currently working as a Data Scientist at Robert Bosch Engineering India, Sagar is actively seeking new job opportunities to further his career. Sagar has a proven track record of implementing end-to-end deep learning projects from research to end product. He has hands-on experience in developing and training ERFNET models for lane segmentation in Tensorflow and using YoloV4 for vehicle detection. He has also assimilated and preprocessed traffic violations data for analysis. Prior to his current role, Sagar worked as an Artificial Intelligence Engineer at Nayan Technologies, where he developed and implemented lane segmentation and vehicle detection models. He has also worked as a Teaching Assistant at Indraprastha Institute of Information Technology, Delhi, where he facilitated easier learning for students in various subjects such as Mathematics-I, Basic Electronics, and Digital Circuits. Sagar's educational background includes a Bachelor's degree in Electrical, Electronics, and Communications Engineering from Maharaja Surajmal Institute of Technology, as well as a High School degree in Physics, Chemistry, and Maths from DPS Dwarka and a Secondary School degree from VVDav Public School. Sagar's technical expertise includes research, data science, computer vision, deep learning, AI, ML, software engineering, Python, image processing, Tensorflow, SVM, Scikit, Pytorch, ResNet, CNN, Docker, Pandas, GCP, and Web. With 3.20 years of relevant experience, Sagar is a valuable asset to any team looking to develop and implement advanced machine learning and computer vision solutions.