Sambarta Ray

Sambarta Ray is a versatile Machine Learning/Robotics engineer with a blend of industry and research involvement in diverse projects, tackling complex problems across various disciplines.

His expertise spans from developing rehabilitative robotics solutions for stroke survivors to creating computer vision applications for ADAS systems, with a solid track record of publications in the robotics and computer vision realms.

Proficient in multiple programming languages such as Python, Java, MATLAB, alongside utilizing platforms and frameworks like TensorFlow, scikit learn, GCP, AWS, Sagemaker, ROS, Gazebo, Turtlebot, PCL, OpenCV, and Simulink.

Sambarta Ray's professional interests lie in the realms of Robotics, Machine/Deep Learning, Computer Vision, and embedded systems, illustrating a passion for tackling challenging research problems.

He pursued his education at St Francis Xavier School, SaltLake, Kolkata, India, where he completed his ISC in Science. He further attained a Master of Science in Electrical and Electronics Engineering with a remarkable CGPA of 3.72/4.0 from Arizona State University, and a B-Tech in Electronics and Communications Engineering from Heritage Institute of Technology with a DGPA of 8.5/10.0.

In his professional journey, Sambarta Ray has served as a Machine Learning/Robotics Engineer at Manus Robotics, and held previous positions as a Software Engineer at Ira A. Fulton Schools of Engineering at Arizona State University, Software Development Engineer at Tata Consultancy Services, and Embedded Systems Intern at New Jersey Institute of Technology.

For those interested in exploring his work, Sambarta Ray maintains an active GitHub profile at https://github.com/srayhit.