Ranjith — Controls Engineer

Bachelor of Technology in Electronics and Instrumentation Courses: Instrumentation and Control Systems, Sensors and Transducers, Linear Algebra CONTINUED EDUCATION: UDACITY, Mountain View, CA Oct 2018 - Jan 2019 Nanodegree in Deep Reinforcement Learning Courses: Value based and Policy based Reinforcement Learning algorithms, Supervised Deep Learning, Data Structures and Algorithms Nanodegree in Robotic Software Engineering Jun 2019 - Aug 2019 Courses: Motion planning, Simultaneous Localization and Mapping (SLAM), Sample based Path Planning algorithms OTHER PROJECTS: Autonomous Home Service Robot: (Github Link) Implemented a Home Service Robot to autonomously map a simulated environment using RTAB-Map and navigate through it using Adaptive Monte Carlo Localization algorithm to pick-up and deliver objects. Software used on this set of projects: C++, ROS. Deep Reinforcement Learning Projects: (Github Links: Project1, Project2 and Project3) Solved several tasks/problems like navigation and continuous control on simulated Unity environments using algorithms like Deep Q-Learning (DQN) and Deep Deterministic Policy Gradients (DDPG) with the help of the Pytorch Deep Learning framework CERTIFICATIONS AND AWARDS: Bravo Award - Received the Bravo award at Honeywell for successfully improving the rates on the packet picking project (mentioned above). udacity.com - Nanodegree in Deep Reinforcement Learning, Nanodegree in Robotic Software Engineering

coursera.org - Control of Mobile Robots from Georgia Tech.; Neural Networks and Deep Learning, Improving Deep Neural Networks, Structuring Machine Learning Projects, Convolutional Neural Networks from deeplearning.ai: UDACITY, Mountain View, CA Oct 2018 - Jan 2019 Nanodegree in Deep Reinforcement Learning Courses: Value based and Policy based Reinforcement Learning algorithms, Supervised Deep Learning, Data Structures and Algorithms Nanodegree in Robotic Software Engineering Jun 2019 - Aug 2019 Courses: Motion planning, Simultaneous Localization and Mapping (SLAM), Sample based Path Planning algorithms OTHER PROJECTS: Autonomous Home Service Robot: (Github Link) Implemented a Home Service Robot to autonomously map a simulated environment using RTAB-Map and navigate through it using Adaptive Monte Carlo Localization algorithm to pick-up and deliver objects. Software used on this set of projects: C++, ROS. Deep Reinforcement Learning Projects: (Github Links: Project1, Project2 and Project3) Solved several tasks/problems like navigation and continuous control on simulated Unity environments using algorithms like Deep Q-Learning (DQN) and Deep Deterministic Policy Gradients (DDPG) with the help of the Pytorch Deep Learning framework CERTIFICATIONS AND AWARDS: Bravo Award - Received the Bravo award at Honeywell for successfully improving the rates on the packet picking project (mentioned above). udacity.com - Nanodegree in Deep Reinforcement Learning, Nanodegree in Robotic Software Engineering

UNIVERSITY OF TEXAS AT DALLAS, Dallas, TX Aug 2013 - May 2015 Master of Science in Mechanical Engineering Courses: Robot Kinematics and Dynamics, Linear and Non-Linear Control Systems

AMRITA UNIVERSITY, Coimbatore, India Jul 2008 - May 2012

coursera.org - Control of Mobile Robots from Georgia Tech.; Neural Networks and Deep Learning, Improving Deep Neural Networks, Structuring Machine Learning Projects, Convolutional Neural Networks from deeplearning.ai