About

Apurv Tiwari is a highly skilled and experienced Staff Machine Learning Engineer at Upstart, with a strong background in implementing machine learning pipelines and training deep learning models. With almost a decade of relevant experience, Apurv has a deep understanding of the latest advancements in machine learning and has worked on a variety of projects throughout his career. In his current role at Upstart, Apurv is responsible for developing and implementing machine learning algorithms to improve the company's lending platform. He works closely with other engineers and data scientists to identify areas where machine learning can be used to improve the platform's performance and user experience. Apurv is highly skilled in object detection and deep learning, and has a proven track record of delivering high-quality results in a fast-paced environment. Prior to joining Upstart, Apurv worked as a Senior Machine Learning Engineer at Starsky Robotics, where he was responsible for implementing machine learning pipelines to collect robotics data, train machine learning models, and deploy them on autonomous trucks. He trained deep learning models for lane detection, shoulder detection, object detection, and depth perception using monocular camera data. Apurv's work at Starsky Robotics helped to improve the safety and efficiency of autonomous trucking, and he gained valuable experience working with complex machine learning systems. Apurv also has experience as a Co-Founder at Ikarus Technology, where he played a key role in developing and launching a new software product. He has a Master of Technology degree in Mathematics and Computing from the Indian Institute of Technology, Delhi, and is highly skilled in a range of machine learning technologies, including ML, object detection, and deep learning. Overall, Apurv Tiwari is a highly skilled and experienced machine learning engineer with a proven track record of delivering high-quality results in a variety of settings. He is passionate about using machine learning to solve complex problems and is always looking for new ways to push the boundaries of what is possible with this exciting technology.