Summary
Avinash Narayana is an AI Performance Analyst with nine years of experience bridging computer vision research and production-grade robotics and AI services. He holds a Master's in Computer Vision and Robotics and has applied real-time perception, SLAM, and path planning in academic labs and industry settings, including work with Kinect sensors, ROS, and robot motion planning for Jaco2. Avinash has built practical AI products—face recognition, object detection, multi-label classifiers and currency models—at Brane and as a freelancer, combining C++, Python, MATLAB and libraries like OpenCV, PCL and Eigen. Comfortable moving models from research to deployment, he now focuses on performance and scalability of AI systems at IBM while drawing on a background in signal processing and deep learning. An understated strength is his blend of hands-on robotics integration and algorithmic depth, enabling him to diagnose performance bottlenecks across perception stacks and embedded systems.
9 years of coding experience
5 years of employment as a software developer
Master's degree Computer vision and Robotics, Master's degree Computer vision and Robotics at University of Bourgogne
Bachelor's of Technology Electronics and Communications Engineering, Bachelor's of Technology Electronics and Communications Engineering at Bhimavaram Institute of Engineering & Technology, Pennada, Bhimavaram , PIN - 534243(CC-AP)
English, Hindi, Telugu