Ameya Dhamnaskar
About Ameya Dhamnaskar
Ameya Dhamnaskar is a Machine Learning Intern specializing in 3D egocentric pose estimations and 3D sim2real detections. He has published a research paper in the journal Pattern Recognition and has experience working in various roles related to software engineering and machine learning.
Work at RadiusAI
Ameya Dhamnaskar currently holds the position of Machine Learning Intern at RadiusAI. He has been with the company since 2022, contributing to projects that focus on machine learning applications in the field of computer vision. His role involves enhancing algorithms and models that support the company's objectives in artificial intelligence.
Education and Expertise
Ameya Dhamnaskar earned a Bachelor of Engineering in Electrical and Electronics Engineering from the Birla Institute of Technology and Science, Pilani, completing his studies from 2014 to 2018. He further advanced his education by obtaining a Master of Science in Computer Science from Arizona State University, where he studied from 2021 to 2023. His academic background supports his specialization in machine learning and computer vision.
Background
Before his current role, Ameya Dhamnaskar gained diverse experience in the tech industry. He worked as a Software Engineering Intern at Infinera in 2017 for five months in Bangalore. He also served as a Software Development Engineer at Tesco Bengaluru from 2018 to 2019 and as a Software Engineer Intern at NortonLifeLock in 2022. Additionally, he worked as a Machine Learning Researcher at IRI - Institut de Robòtica i Informàtica Industrial from 2019 to 2021 in Barcelona.
Research Contributions
Ameya Dhamnaskar has published a research paper in the journal Pattern Recognition, which is accessible via DOI: 10.1016/j.patcog.2023.109358. His research focuses on enhancing 3D egocentric pose estimations and 3D sim2real detections, contributing to advancements in the field of machine learning and computer vision.
Professional Projects
Ameya Dhamnaskar maintains a personal homepage that showcases his projects and professional achievements. This online portfolio highlights his work in machine learning and computer vision, reflecting his skills and contributions to the field. The homepage can be accessed at https://nudlesoup.github.io/.