*Theme settings will be saved for
next visit
Deep Learning, Autonomous Driving Enthusiast &
Full-Stack Web Developer
• Reduce the risk of accidents on road, Human lives are valuable.
• Make driving safe so that humans can be a much better productive workforce in the world.
Deep Learning & Autonomous Driving Enthusiast and FullStack Web Developer: Download Resume
Worked on OpenCV with C++
Feature Detection on objects from camera images using state of the art KeyPoint Detectors.Performed Keypoint detection, matching and descriptors
Evaluated different combinations of detectors + descriptors based on their performance and identified the best combinations
Worked with PCL libraries in C++
Filtering, Segmentation and Clustering of real point cloud data to detect obstacles in a driving environment
Worked on Matlab
Performed Fast Fourier Transform on Radar Data and implemented 2D CFAR process to caliberate, threshold and filter radar data to detect the obstacles in Radar Data
Worked with OpenCV, PCL libraries in C++
Detected and tracked objects in 3D space from the KITTI Dataset based on camera and lidar measurements
Computed time-to-collision based on the data from both the sensors and compared the results
Identified the best Keypoint Detector + Descriptor combinations for object tracking and Time to Collision Computation
Worked on C++
Implemented an Unscented Kalman Filter to estimate the state of multiple cars on a highway using noisy LiDAR and RADAR measurements
• Developed web application to host and join sports events by individuals.
• Web CRUD application was developed on MERN stack and implemented in Docker.
• Implemented Continuous Integration and Continuous Delivery using Github workflows to deploy in Dockerhub.
• Developed a dashboard for the state of Baden Württemberg using live COVID data from Robert Koch Institute API.
• The application finds the shortest and safest path (using Dijkstra’s algorithm on Neo4j) to the airports in Baden Wurttemberg based on present day count of corona cases in every Landkreis.
• Project was developed using three databases – MongoDB, Neo4j, Redis with a REST API and implemented using docker.
• Developed a windows desktop application on C# using Windows Presentation Forms to take class notes for students.
• Application followed the Gestalt principles, ISO 9241 rules for software ergonomics and concepts like internationalization and globalization