About

Aditya Magarde is a highly skilled and motivated Software Engineer II at Drivetrain who is passionate about machine learning and computer vision. With almost four years of relevant experience, Aditya has a proven track record of success in developing innovative solutions using deep learning and natural language processing. Aditya's expertise in machine learning and artificial intelligence has led him to work on various projects in the computer vision and machine learning domains. He has a strong background in Android application development and has always been fascinated by building smarter systems that can interact with us intelligently. Prior to joining Drivetrain, Aditya worked as a developer and researcher in the NextGen R&D team at TCS Digital. Here, he created solutions using deep learning and NLP for clients in the tech industry and developed POCs for them. He also worked on projects in the computer vision and machine learning domains, where he trained and retrained YOLO and SSD models available from Tensorflow's Model Zoo. Aditya's experience in developing a deep learning solution for the analysis of given video feed and detecting the occurrence of a certain incident/action is noteworthy. He worked with limited compute power and data and converted the problem into an object detection problem, which eased the problem of lesser data and made it possible to deploy the solution in real-time. Aditya holds a Bachelor of Technology in Computer Science from SRM University. He is well-versed in various technologies such as Flask, Spring, Python, Django, Java, and Tensorflow. His passion for research and development has led him to work as a research scientist and data scientist. Overall, Aditya is a highly skilled and motivated software engineer who is passionate about machine learning and computer vision. His expertise in developing innovative solutions using deep learning and NLP makes him a valuable asset to any organization.