I am scheduled to graduate in August 2019 and currently looking for a full-time opportunity in the area of machine learning/software development.
Building smart autonomous agents using deep learning tools and planning
Grader & Teaching Assistant for the course CSE 571: Artificial Intelligence
Developing smart applications with machine learning
Here's some of my recent work
Architected an end-to-end system which introduces AI planning concepts using mobile manipulator robots. It uses a visual programming interface to make these concepts easier to grasp. Users can get the robot to accomplish desired tasks by dynamically populating puzzle shaped blocks encoding the robot's possible actions. This allows users to carry out navigation, planning and manipulation by connecting blocks instead of writing code.
Devised algorithms that can detect cars parked at multiple parking spots, compare if two cars are same or not, predict the color of a car and output each car that was detected and how long it was parked for (approximately) within a given time interval.
Utilized a deep object detection network (YOLO) to capture an object’s movements in the current camera frame which then served as evidence to a Partially Observable Markov Decision model for visual servoing.
Implemented Pacman agent in an adversarial setting using DFS, BFS, UCS, A* search, Alpha-Beta pruning, Minimax, Value functions, model-based and model-free reinforcement learning algorithm.
Designed and developed a virtual math teacher that can ask and answer questions on basic addition, subtraction, multiplication, and division.
Designed and developed a smart music player that is controlled by voice commands.
Artificial Intelligence is the study of building agents that act rationally. Most of the time, these agents perform some kind of search algorithm in the background in order to achieve their tasks. Typically, there are two categories of search, Uninformed and Informed. In this project, we help our turtlebot3 to find paths through his maze world, avoiding obstacles and reaching the goal location and finally hitting the target object (and only the target object) in red. This system has been designed and developed with the motivation that it could be used to teach about Search problems in the course of AI.
Feel Free to Contact
Tempe, Arizona
(+1) 949 546 5905
davechirav@gmail.com
