๐ About Me
๐ I am an upcoming graduate student in Robotics at New York University, Tandon School of Engineering. I completed my bachelorโs degree in Electronics and Telecommunication with a specialization in Robotics and Automation from Symbiosis University. I worked under the guidance of Dr. Ketan Kotecha and Dr. Rahee Walambe on Explainable AI, Multimodal Fusion, and Computer Vision.
๐ก Passionate about leveraging cutting-edge technologies to tackle intricate challenges. Particularly enthusiastic about the domains of geometric vision (structure from motion, SLAM, optical flow) to visual perception (detection, recognition, classification), as well as machine learning problems (deep learning, reinforcement learning, generative models).
๐ค My aim is to create algorithms and systems that allow autonomous robots and embodied agents to reason about and operate within the real world environment. My research area combines principles from robotics, machine learning, and computer vision. I concentrate on developing methods for perception and decision-making capabilities that can enable general-purpose autonomous functionality for robots operating in uncontrolled, real-world settings.
![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
student | Research Intern | Project Associate | Project Associate | Robotics Intern | AI Research Intern |
SCAAI (07/2022-08/2023)
ML Researcher
Multimodal fusion, XAI, CV, LSTM (Tools: pytorch, tensorflow, docker, NVIDIA DGX)
Flytbase (01/2023-06/2023)
Robotics Intern
ROS, MAvlink, MQTT, Gstreamer, REST (Tools: python development, C++, linux system administration, jetson nano, Casia G )
La fondation dassault systemes (09/2023-present)
AI Research Intern
Geometric vision, LLMs, 3D_experience, GPU architecture (Tools: pytorch, deep learning, NVIDIA DGX)