Machine Learning Engineer - Computer Vision
03.2021 - present
Varun Ganjigunte Prakash
I am a computer vision engineer and robotics practitioner. I am inclined to work on ideas that have direct real-world impact, and I believe that working in the domains of computer vision and robotics is the perfect mixture for learning, failing, and then making ideas work through experience that brings real knowledge and maximum impact. Robots fascinate me, and I enjoy building them. Building goal-oriented machines that can sense, plan, act safely, and help people is my long-term life goal. In the near future, I plan to work on agricultural robotic systems to help our farmers, making intelligent machines as accessible and affordable as cell phones. I am self-driven and chasing my vision. I pitch in to help people from ideation to product realization. If it works, I am lucky to see their happy faces.
I completed my undergrad at Sri Jayachamarajendra College of Engineering in Mysuru. I am passionate about solving problems at the intersection of computer vision and robotics. I have spent time working on computer vision and robotics challenges.
Implemented a human behavior-aware crowd navigation model utilizing the DRL algorithm with enhanced risk awareness, safety, and understanding of the environment for robot navigational decisions.
Designed a custom 4–axis robotic arm, implemented it, and simulated it in ROS. Tested the custom built manipulator for 3D object grasp with deep learning.
Implemented a deep model for currency recognition and deployed it as an Android mobile application.
Developed a deep model that classifies and discovers related information about the 20 most common Indian food items, such as the nearest restaurants where they are available and the item’s cost.
Designed a home assistant robot to assist differently-abled and elderly persons by performing some of the common tasks involved in daily life. Implemented the objectives using a robot (DEXTER ER-2) mounted on a mobile vehicle that operated using voice commands to selectively search for and deliver the object required by the user.
Implemented code to sort different sized objects based on color with a robotic arm (DEXTER ER-2). The algorithm used basic image processing and inverse kinematics concepts.
Designed and implemented object delivery behavior for a robot based on the shape, size, and color of the objects. Implemented perception algorithms to analyze objects and obstacles and plan paths. Evaluated objectives using the Fire Bird V robot with a mounted custom designed gripper to pick and deliver objects.
Projects
Interests
Please refer to my CV for more details,
