P Reddy is a Localization and Deep Learning Engineer based in Bengaluru with 8 years of hands-on experience building perception and localization stacks for robotics and autonomous systems. With a top-ranked BE in Electronics and Communication from BMS College of Engineering, he has driven Visual Odometry, SLAM, LiDAR segmentation, and monocular 3D detection efforts across startups like Swaayatt Robots and Flux Auto. He combines research curiosity with practical deployment skills—optimizing neural networks for edge use, converting point clouds to range images, and implementing kinematic vehicle models in open-source coursework. Comfortable across classical robotics pipelines and modern deep learning, he consistently bridges academic rigor and product-focused engineering to ship robust localization and perception solutions.
8 years of coding experience
Bachelor of Engineering - BE, Electronic and Communications Engineering, 9.42 / 10.0, Bachelor of Engineering - BE, Electronic and Communications Engineering, 9.42 / 10.0 at B. M. S. College of Engineering
Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera
Role in this project:
Back-end Developer
Contributions:147 commits, 106 pushes, 1 branch in 1 year 3 months
Contributions summary:P's commits primarily involve adding and modifying code related to the implementation of a kinematic bicycle model. Their work includes defining a bicycle class, implementing a step function to update the kinematic model based on speed and angular rate inputs, and setting up the initial conditions for the model. They also added code to calculate the trajectory of the vehicle with circle radius.
Contributions:57 commits, 50 pushes, 1 branch in 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.