I am a masters in computer science in perception and robotics from Georgia tech. Here are some of the projects related to computer vision, robotics and perception that i have completed as part of my studies and research work.
Using transformers for Grasp Detection (Github Link)
The project uses a similar architecture as DETR. However changes where made to the project to include the major available datasets for grasp detection mainly the Cornell dataset for grasping . and the jacquard Dataset. . Another major change was how to find grasp boxes as well as their orientation. The loss was calculated based on IOU using help of hungarian matcher.
ADWORDS GRADER TOOL
Created a tool using Numpy, Python and Rest API’s to generate an audit report. The tool was means as a lead generation tool for agencies.
Activity Detection using 3D Resnets
In the project we worked with the hmdb dataset, various data transformation where applied to the dataset to treat the class imbalance. 3D resnets where used for activity recognition based on the Representation flow Paper.
Visual Slam using Factor Graphs ( Github Link)
In this project based on the following architecture a visual slam system was built, the front end uses Perspective-n-Point algorithm. The backend optimisations are done using Factor Graphs.
Disparity Maps using Fast-Approximate-Energy-Minimization-via-Graph-Cuts
Left Image
Right Image
Disparity Map
Object Tracking using Particle Filters and Kalman Filters
Projective Geometry using Aruco markers
Using Kalman Filters to Find the way through a Asteroid Field
Graph Slam to Find Gems using Landmarks
Visual Fusion
Other Notable Projects
- Open AI Moon Lander using DeepQ learning
- TeraSort using OpenMP
- Designing a transformer in pytorch for machine translation
Here are the List of Courses I have Completed to develop my knowledge.
Core Courses
| Build a Modern Computer from First Principles: From Nand to Tetris | View Certificate |
| Build a Modern Computer from First Principles: Nand to Tetris Part II | View Certificate |
| Algorithms: Design and Analysis – Stanford. | View Certificate |
| Algorithms: Design and Analysis Part 2 – Stanford | View Certificate |
| Software Construction: Data Abstraction – UBC | View Certificate |
| Software Construction: Object-Oriented Design – UBC | View Certificate |
Introduction to Discrete Mathematics for computer science specialization
| Mathematical Thinking in Computer Science | View Certificate |
| Combinatorics and Probability | View Certificate |
| Introduction to Graph Theory | View Certificate |
| Number Theory and Cryptography | View Certificate |
Introduction To Big Data
| Introduction to Big Data | View Certificate |
| Big Data Modeling and Management Systems | View Certificate |
| Big Data Integration and Processing | View Certificate |
| Machine Learning With Big Data | View Certificate |
| Graph Analytics for Big Data | View Certificate |
Data Warehousing for Business Intelligence Specialization
| Database Management Essentials | View Certificate |
| Data Warehouse Concepts, Design, and Data Integration | View Certificate |
| Relational Database Support for Data Warehouses | View Certificate |
| Business Intelligence Concepts, Tools, and Applications | View Certificate |
Machine Learning
| Machine Learning: Classification | View Certificate |
| Machine Learning: Regression | View Certificate |