I am an experienced Software developer with expertise in ML and Computer Vision.
As an experienced Software Developer with a strong focus on Machine Learning and Computer Vision, I am passionate about creating innovative solutions that drive success. I thrive on tackling complex challenges and am dedicated to delivering exceptional results.
Throughout my career, I've had the opportunity to work on a wide range of projects involving Machine Learning and Computer Vision. My expertise enables me to develop and implement innovative solutions that unlock the full potential of these technologies. I am always eager to collaborate with others and contribute to the success of their projects.
An AR multiplayer game utilizing Arctop Brain Controller Interface and Magic Leap Headset for increased user engagement.
A Convolutional Autoencoder-based image color estimation model, improving colorization accuracy by 20% compared to the original research paper.
A Virtual Mouse with hand-tracking capabilities, improving user convenience and showcasing proficiency in computer vision techniques and deep learning frameworks.
Jan 2023 - May 2023
Mentored 30+ Graduate students on various VR/AR concepts using Unity and Oculus Quest headsets, enabling them to develop innovative projects in the XR domain.
Jun 2022 - Dec 2022
Developed a patent-pending method for metaverse experiences using monocular Pose Estimation and Image Segmentation, which improved user immersion and interaction by 30% across Android, iOS, Mac, and Windows platforms. Leveraged cutting-edge video transmission technology to reduce latency by 60% in an XR game, leading to a 25% increase in user engagement.
Jan 2022 - May 2022
Mentored 80+ Graduate students to understand complex classical computer vision concepts. Hosted weekly Office Hours, graded assignments, and provided feedback, resulting in a 15% improvement in overall assignment scores.
Sept 2021 - Present
Developed Digital Twin simulations, optimizing Active Transportation testing on intercity highways.
Developed an advanced autonomous vehicle simulator using CARLA and Unreal Engine 4, contributing to a 20% increase in Teams revenue. Designed and built 50+ complex environments with realistic features, resulting in a 30% improvement in customer satisfaction. Utilized ROS to enhance inter-vehicle communication in the digital twin.