Greetings! I am a robotics student passionate about the Artificial Intelligence (AI) industry. My main area of focus lies in prediction and machine learning. I also have a lot of experience in robotics perception, such as computer vision and LiDAR. Hope to see you in the future!
xLab is a research lab at University of Pennsylvania lead by Prof. Rahul Mangharam targeting at developing critical systems and autonomous systems
Dec 2019 - May 2020, Bangalore, India
Vision Cultura is a start-up that works on IoT-based farming solutions which interconnects sensors, cloud and a mobile app
Jan 2019 - Dec 2019, Chennai, India
CIA Lab is a research lab at Vellore Institute of Technology lead by Prof. Umayal that builds embedded systems for Industrial Automation and Robotics applications
Siemens Gamesa is a leader in the renewable energy industry, working to provide the world’s best offshore and onshore wind turbines and services
2021-2024 M.S.E. in Robotics, M.S.E in Computer ScienceGPA: 3.8 out of 4Taken Courses
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2016-2020 B.Tech in Electrical and Electronics Engineering with a Minor in Computer Science EngineeringGPA: 8.99 out of 10Taken Courses
Extracurricular Activities
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Improved state-of-the-art EfficientPS model by replacing its instance head (Mask RCNN) with SOLOv2.
Benchmarking 9 ML algorithms for identifying hand motions from EEG recordings.
Pytorch Implementation of proposed improvements to the state-of-the-art image super resolution model ESRGAN.
A novel approach to blind motion deblurring - converting a non-blind method (Weiner Deconvolution) to a blind method using Deep Learning
Robot localization using LSTM in HabitatAI simulator, employing particle filter as the embedded algorithmic prior.
Variational Autoencoder that learns from MNIST dataset and generates altered handwritten digits.
Indoor SLAM using an IMU and a LiDAR sensor of a humanoid called THOR.
Bottom-up implementation of YOLOv3 for Object Detection.
pyTorch implementation of Segmenting Objects by LOcation (SOLO) and FPN for COCO dataset.
Recurrent Neural Network trained on Leo Tolstoy’s War and Peace to imitate his language style.
Detects spam emails with 98.7% accuracy using Support Vector Machines
Numpy implementation of a neural network for digit recognition
Robot orientation tracking using EKF and UKF on VICON motion capture system
