I am actively looking for entry-level full-time Computer Vision Engineer positions.
I have 3+ years of experience in 2D & 3D Object Detection, Segmentation, Tracking, SLAM, Sensor Fusion; I'm proficient in Python, C++, MATLAB, PyTorch, OpenCV, Open3D (PCL), Git, AWS and Docker.
I am interested in multimodal perception, localization & mapping algorithms for autonomous systems.
I received my MS from New York University and BEng at BITS Pilani, both in Electrical Engineering, with a specialization in Robotics, AI and Computer Vision.
In my free time, I watch science fiction, cook delicious food and contribute to open-source projects! To get a better insight on my work, have a look at my 📃Resume
Below is a list of my notable projects. Feel free to have a look at whatever you find interesting!
SuperSLAM: Open Source Framework for Deep Learning based Visual SLAMCode
Pose estimation pipeline to enable 3D reconstruction using Local Feature Transformer (LoFTR)Code
Optimal state estimation using extended & unscented kalman filter implemented using MATLABCode
Benchmarking of LiDAR 3D Object Detection networks (VoxelNet, PointNet++, PointPillars) on KITTI Dataset.Code
A visualization in reduced dimension to show how autoencoders learn features in the Fashion MNIST dataset.Code
Fast, Parallel implementation of the RANSAC algorithm to segment a plane in a point cloud.Code
A convolutional neural network for multi-task visual damage assesment.Code
Relative Pose estimation using OpenCVCode
Convolutional Neural Network for detecting power cables.Code
A modification in a RNN unit that reduces redundant computation.Code
A tango inspired dark theme for Visual Studio Code.Code
A simple and elegant Jekyll theme for portfolio pagesCode