Chirav Dave

Author Image

SDE at Amazon GO. MS thesis from Arizona State University.

At GO,I develop vision based algorithms which take RGB images, segmented images & camera model to automatically detect shopping events including customers and products identification.
During my MS thesis, I was a Graduate Researcher at Autonomous Agents and Intelligent Robotics Lab. I built smart autonomous agents using deep learning tools and AI planning that can assist humans in their daily lives. I was also the TA for the graduate level course CSE 571 Artificial Intelligence where I created assignments on search, planning, game trees and probabilistic reasoning using ROS and Gazebo.

ai/ml/dl

70%

python/java

80%

Tensorflow/OpenCV

80%

postgresql/sqlite/mysql

80%

what i did and do.

Personal Development

Developing smart applications with machine and deep learning

  • Machine/Deep Learning
  • Raspberry Pi
  • Google AIY VoiceKit

AI Planning & Robotics

Built smart autonomous agents using deep learning tools and AI planning

  • Robot Perception (ROS & OpenCV)
  • Task Planning
  • Motion Planning (ROS & OpenRAVE)

Teaching Assistant

Grader & Teaching Assistant for the course CSE 571: Artificial Intelligence

  • Developed assignments in ROS and Gazebo
  • Developed auto-graders for homeworks & assignments
  • Helped undergrads with AI concepts

recent work.

Here's some of my recent work

  • all
  • deep learning
  • ai
Roblocks

Roblocks: An Educational System for AI Planning and Reasoning

Automated Car Parking Detection

Automated Car Parking Detection

3D Object Reconstruction

3D Object Reconstruction

Visual Servoing

Visual Servoing

DCGAN

MNIST DCGAN

Pix2Pix(CGAN)

Pix2Pix(CGAN)

CycleGAN

CycleGAN

Image Segmentation

Image Segmentation

AI Search

AI Search using ROS & Gazebo

Others

# Title Links
1 Voice controlled music player Youtube
2 Ping Pong game using Game Trees Youtube Github

contact me.

Feel Free to Contact

my location:

Kirkland, Seattle

email address:

davechirav@yahoo.com