Engineering Software Engineer

Kiran Kumar Chinta

San Jose, CA –***** *****.********@*****.*** 408-***-**** kiranchinta23.github.io EDUCATION

San Jose State Univesity, San Jose, CA. May 2019

Master of science in Mechanical Engineering, specialization in Robotics JNTUA College of Engineering, Pulivendula, India July 2014 Bachelor of Science in Mechanical Engineering

SKILLS

Software: C, C++, CATIA, Gazebo, Git, HTML, Jupyter, Linux, MATLAB, OpenCV, Python, ROS, localization, mapping, SLAM, planning, navigation, controls, Simulink, Tensor Flow, Keras. WORK EXPERIENCE

Sai Infotech, Anantapur, India January 2015 - August 2016 Content developer, software Engineer, Instructor

• Designed the Robotics course and taught state of the art software algorithms.

• Worked closely with industry partners including top software and robotics companies.

• Gained expertise in both the hardware and software side of engineering especially in Linux, C++.

• Granted the Speed award for always staying ahead of the schedule and keeping my promise to deliver on time.

• Led a team of 5 consisting of hardware, and software engineers.

• Coordinated the activities of the engineers and managed multiple priorities and deadlines.

• Trained engineering students to master software and hardware skills to pursue rewarding jobs. ACADEMIC PROJECTS

Computer Vision with Deep Learning

Lane finding using OpenCV:

• Utilized OpenCV in Python Jupyter notebook to create a simple image processing pipeline for detecting, recognizing, and identifying highway lane lines in an image or video.

• Achieved lane line recognition across all frames of two different vehicle dash cam videos. Image classification with CNN:

• Utilized TensorFlow deep learning framework and OpenCV in Python to train a classifier for the GTSRB traffic sign dataset.

• Implemented data augmentation and image jitter to achieve 95.6% accuracy on hold-out test data set.

Behavior cloning:

• Utilized Keras deep learning framework and OpenCV computer vision framework in Python to train a car to drive in a simulator.

• Achieved full performance in the training environment, as well as a previously unseen environment, through intricate data selection/augmentation strategy and neural network tuning. Driver Distraction Detection

• Developed the Driver distracted detection software using QT, with Kinect v2 and Brio camera setup.

• with the Microsoft Kinect sensor, skeleton tracking and Head tracking is implemented to track the hand positions and head orientation.

• Brio camera for facial expressions is used to monitor the eyes and mouth behavior. PID controller for Tesla (Model S)

• Implemented the engineering model of the car in SIMULINK using blocks, transfer functions, MATLAB functions.

• Tested and tuned a PID controller adapted to the requirements in order to control the output of the system, speed of your Model S (cruise control). Home Service Robot

• Combined different AI paradigms in Gazebo and rviz to build a home service robot that can map, localize, and navigate to perform household tasks, moving from one room to another autonomously.

Ball chasing Bot:

• Designed and build a robot and house in the world using gazebo.

• wrote C++ nodes in ROS to chase white colored balls. Localization

• Applied sensor fusion on rotary encoders and IMU data with the help of extended kalman filter package, estimating the 3D pose of the robot.

• localized the robot using Adaptive Monte Carlo Localization algorithm (particle filter approach) in ROS.

SLAM

• Researched and developed the Occupancy Grid mapping algorithm and GraphSLAM algorithm

• integrate the RTAB-map with the robot to create 2D and 3D maps of the environment. path planning

• Developed the Probabilistic Path planning algorithm which A* search.

• Put it all together and added an add_markers node with a pick_objects node with amcl localization to simulate a full home service robot capable of navigating to pick up and deliver virtual objects. VOLUNTEER ACTIVITIES

National Service Scheme

• taught the people from the rural area to use computer and internet to improve their daily tasks. ADDITIONAL INFORMATION

Honors and Awards: The honor society of phi Kappa phi clubs: Member of Robogyan for 2 years

personal interests: Badminton, cooking.

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