I studied Electrical Engineering at Columbia University with a focus on Machine Learning and Deep Learning.
Currently working as Machine Learning Engineer II at Michaels Stores, focusing on Fraud detection and building Vision models.
Preciously I worked at Think360.ai as a Software Engineer - Machine Learning
Detection of lane lines from a video using OpenCV.
Used various image processing techniques to pre-process images and finally using Hough Transform found lane lines.
Used regression to collate lines to get one consolidated line for each side of the lane.
Even more powerful lane detection algorithm.
Removed camera distortions using Calibration matrix.
Used "Bird's Eye" view of the road to detect curved lanes.
Calculated curvature using formulae and transformed them to real-world units.
Implementation of legendry LeNet architecture to classify traffic signs.
Implemented various data augmentation techniques.
Built convolution neural network to predict steering angle for a moving car
Implemented CNN used in Nvidia self-driving car.
Data augmentation is done on the fly while training using generators.
Implemented EKF to predict position and velocity of an object from LIDAR and RADAR data.
Copyright © All rights reserved | This template is made with by Colorlib