Working on control systems and hardware design development for a ROS operated autonomous robot. My responsibilities include design and development for the following:- Embedded Systems design, schematics, PCB Layout- ARM based control system design and implementation- USB/CAN API development to interface to Linux systems- Control algorithm development on ROS2 (PID/ MPC/LQG)- Image processing(2D/3D camera)/ML algorithms for face/people detectionI also work as a full stack back-end developer and design system architecture for handling real time network data and analysis towards cybersecurity applications in the networking domain. Responsibilities include:- Design and development of backend stack for threat detection. - Development of algorithms and ML models for threat detection.- API design , interface to various DBs for low latency, high throughput, high availability systems- Pen-testing, create red-team blue-team scenarios

Working as a full stack back-end developer for cybersecurity applications in the networking domain.

A new controller based on the concept of Human Motor Control titled, Experience Mapping based Predictive Controller (EMPC) was developed for well damped Type 1 system. In this thesis, the concepts of EMPC have been improvised and applied to an under-damped Type 1 system to achieve reduced overshoots and oscillations. The proposed controller is applied to a DC motor based positioning system with a load coupled through a flexible shaft, which constitutes an under damped position system. EMPC uses the concept of learning by experience and generates an Experience Mapped Knowledge (EMK) which stores a one-to-one mapping of the control parameter to the corresponding steady state value of the parameter to be controlled. The EMK is generated by applying various control action to the system with different values of the control parameter and corresponding steady state values are recorded. EMK helps EMPC to give the right control action for a given demand by using linear interpolation method.Simulation and practical experimental results show that the proposed controller performs better than traditional controllers like the Proportional-Derivative (PD), and State Space based controllers like the Linear Quadratic Regulator (LQR) and the Linear Quadratic Gaussian (LQG) controller. Stability of the controller for non-linearities and various changes in system parameters such as dry friction, actuator saturation, load inertia and spring constant and adaptability of the controller for the same are also discussed with suitable simulation results.The concepts of EMPC are further modified to suit non-minimum phase systems with systems containing Backlash as an example. EMPC demonstrates reduced overshoots and zero steady state error in both simulation and practical system. EMPC is practically applied to control an inverted pendulum which does balancing and centring of the carriage simultaneously.

Work on Electronics Product development from start to finish including PCB designing and problem solving techiniquesWork on projects like Body-motion digitization, Intelligent motor control systems,Projects include - Robo-Puppet,Inverted pendulum,DC -Stepper motor control systems.

Work on small projects in few fields in Electronics like Robotics and digital systems.Worked majorly on Automated puppet system based on human gesture recognitionLearn from experience by practical exposure under the guidance of a professor.

- Hardware Designs - Analog,Digital,PCB,Embedded,3D enclosures- Software Designs - ARM,Arduino,LINUX,HTML,PHP, Wordpress,Android,WinApps