About ME
Robotics Software Engineer
As a passionate and dedicated roboticist with a deep interest in the intersection of Computer Vision, Deep Learning, and Machine Learning, I'm commited to exploring and experimenting with new technologies. With a keen eye for detail and a thirst for knowledge, I am constantly seeking out new Challenges and Oppurtunities to grow and develop. Whether it's developing computer vision algorithms or building autonomous vehicle architecture, I'm always seeking out fresh challenges to satisfy my insatiable curiosity. With each challenge I tackle, I grow more knowledgeable and experienced, and my love for this field only continues to deepen. If you're looking for a roboticist who is as enthusiastic about pioneering technologies as you are, look no further!
Education
Worcester Polytechnic Institute Worcester, USA
Masters of Science in Robotics Engineering 2022 - 2024
GPA : 4.0/4.0
Manipal Institute of Technology Manipal, India
Bachelor of Technology in Mechatronics Engineering 2016 - 2020
CGPA : 8.68/10
Contact
Connect with me!
Github
Highlights
I've got some exciting projects you might like!
Vision Based Grasping
Computer Vision
Imagine a robot that can see and grasp objects in 3D space. That's exactly what I've been working on - developing cutting-edge algorithms to segment, synthesize, and optimize grasping based on the environment's point cloud data.
Autonomous Vehicle
Motion Planning
Have you ever imagined a world where vehicles drive themselves? I'm working on making that a reality by building my own autonomous vehicle architecture that can navigate complex urban settings and avoid obstacles with ease. Join me on this exciting journey as we bring the future of transportation to life
Visual Servoing
Computer Vision
Using visual servoing and image Jacobians to develop sophisticated algorithms that can track and manipulate objects with ease. Want to learn more about this work? Visit my projects section for more details.
Fashion Neural Network
Deep Learning
What if you could use advanced machine learning techniques to accurately classify fashion images? That's exactly what I've done - developing a neural network from scratch using cutting-edge algorithms like backpropagation and stochastic gradient descent. By optimizing hyperparameters and performing PCA, I achieved an impressive 88.045% test accuracy. Want to learn more? Visit my projects section for more details.