Projects

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

  1. Open AI Moon Lander using DeepQ learning
  2. TeraSort using OpenMP
  3. 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

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