About

Sriram Natarajan is an accomplished Associate Technical Architect with a specialization in Machine Learning and Computer Vision. He holds a Masters of Science in Electrical Engineering from the University of Twente, where he focused on Computer Vision and Machine Learning. With a career spanning almost 6 years, Sriram has gained extensive experience in the development of algorithms for camera sensors, specifically towards Highly Automated Driving. Currently, Sriram is working as an Associate Technical Architect in Machine Learning at quantiphi. In this role, he is responsible for designing and developing machine learning solutions for clients across various industries. Prior to this, he worked as a Senior Research Engineer at n i drive 株式会社, where he was involved in developing algorithms for autonomous driving. Sriram's experience also includes a year-long association with the MILE Lab at the Indian Institute of Science, where he worked on Optical Character Recognition. This experience helped him gain a deeper understanding of machine learning algorithms and their applications in real-world scenarios. Throughout his career, Sriram has honed his skills in various technologies, including ML, Senior Software Engineering, Big Data, Research Science, and Computer Vision. He has also worked with several companies, including cyclomedia technology, where he interned during his early career. Overall, Sriram is a highly skilled and experienced technical architect with a passion for machine learning and computer vision. He is an expert in developing algorithms for camera sensors and has a deep understanding of the latest trends and technologies in the field. His ability to design and develop machine learning solutions for clients across various industries makes him an invaluable asset to any organization.