Rishav Agarwal
About Rishav Agarwal
Rishav Agarwal is a Deep Learning Engineer currently working at Intrinsic in Canada. He has a diverse background in machine learning and computer vision, with previous roles at the University of Waterloo, Akasha Imaging, and Vector Institute.
Work at Intrinsic
Rishav Agarwal has been employed at Intrinsic as a Deep Learning Engineer since 2022. In this role, he focuses on developing and optimizing machine learning models, contributing to advancements in AI technologies. His work involves implementing solutions that enhance the efficiency and scalability of machine learning applications.
Previous Experience
Before joining Intrinsic, Rishav Agarwal held several positions in the field of machine learning and engineering. He worked as a Senior Engineer at Akasha Imaging from 2021 to 2022 and as a Machine Learning Engineer at the same company from 2020 to 2021. Additionally, he served as a Teaching Assistant at the Vector Institute in 2021 and as a Researcher at the University of Waterloo from 2018 to 2020.
Education and Expertise
Rishav Agarwal earned a Master's degree in Mathematics and Computer Science from the University of Waterloo, where he studied from 2018 to 2020. Prior to this, he obtained a Bachelor of Science in Economics from the Indian Institute of Technology, Kanpur, from 2012 to 2016. His education has equipped him with a strong foundation in both theoretical and practical aspects of machine learning and computer vision.
Research and Development Contributions
Throughout his career, Rishav Agarwal has engaged in collaborative research and innovation in AI and computer vision. He has developed advanced machine learning models for real-time pose estimation tasks and optimized model performance using ONNX and TensorRT technologies. His contributions have focused on deploying efficient and scalable machine learning solutions across various platforms.
International Experience
Rishav Agarwal has gained international experience through various roles. He served as a Visiting Scholar at Academia Sinica in Taiwan for two months in 2016. Additionally, he worked as a Student Researcher at Rutgers University in the USA for three months in 2015. These experiences have broadened his perspective and expertise in the field of machine learning.