I'm a Mechanical Engineer with a passion for Robotics and Autonomous Systems domain. I strongly believe that it is my determination coupled with an analytic bent of mind that defines me as a person.
I’m currently pursuing my Masters in Mechanical Engineering from Arizona State University. To gain more knowledge and apply my skills to practical applications I took up projects which gave me a good understanding of the field of dynamics, control systems and Robotics.
My experience as a Graduate Student Researcher in Robotics and Intelligent Systems Laboratory (RISE Lab) have me an opportunity to connect with people with unique thinking ability, learn a lot about the hardware and handle complex tasks.
I have also worked as Software Engineer Intern at Sensagrate Company which made me well versed and giving experience of using Deep Learning and AI tools in the industry related projects.
Sensagrate – Scottsdale, AZ (https://www.sensagrate.com/)
• Software Engineer Intern, May 2020 – August 2020
The Internship aimed at building a SaaS model capable of achieving safer (Pedestrian safety on roads, airports and workplaces) and smart infrastructure (improved I2V Communication) by using Artificial Intelligence (AI) and Deep learning as tools. Each project followed Agile methodology (Project Management tools) using Jira and Confluence softwares;
❖ Developing algorithms for real-time multi object detection & classification, tracking and zone detection using Camera and LIDAR.
❖ Implementation and Validation of code on Edge Computing devices and enhancing the code performance by achieving 29 FPS for Yolo v3 model with TensorRT Optimization on Jetson TX2. Also implementation of different models (using EfficientDet D0 & D4, MobileNetSSD) and methods (Federated Learning, Transfer Learning)
❖ Working on Lidar development and Data annotations for point cloud frames using Pointilism and Supervisely.
❖ Exploring Sensor Fusion techniques and creating new GUI for visualizing point cloud and image frames using Rviz (ROS tool) and publishing points for creation of zones and polylines used for other projects.
Arizona State University - Tempe, AZ
• Robotics and Intelligent Systems (RISE) Laboratory - Mesa, Arizona August 2018 - Present
❖ Master’s Thesis Project : Bike Control and Navigation using Reinforcement Learning
Bike controller design using Deep Q learning technique for improving the stability and addition of autonomous navigation system.
❖ Graduate Student Researcher, ASU Polytechnic School
System Control knowledge applied on a stationary bike balancing project using Control Moment Gyroscope (CMG), designing controller using sliding mode control,dynamic modelling resulting in balancing of bike with reduced overshoot.
• Introduction to Electric and Autonomous vehicles August 2019 – December 2019
Topic – End to End Learning for Self Driven Cars Tempe, Arizona
Experential Learning of autonomous car modelling aspects of Data collection using sensors, Data processing (RGB to YUV/HSV, translations & rotation of images etc), feeding images to Convoluted Neural Networks (CNN), and training data for certain number of epochs and testing it on Udacity Unity simulator for the autonomy rates and accuracy reachability.
• Modeling and Control of Robots Project August 2019 – December 2019
Topic –Robotics Toolbox using App Designer in Matlab/ Simulink Tempe, Arizona
Creating a user friendly toolbox for modeling and control of any robotic arm using Denavit – Hatenberg (DH) conventions. The toolbox performs the computations of : Homogenous Transformations and Mapping, Jacobians, Forward and Inverse Kinematics, Differential and Inverse Differential Kinematics, Dynamic Equations, Motion and Force Control.
• Advanced Hydrogen Storage for Fuel Cell Vehicles (https://www.ronnmotorgroup.com/) January 2019 – May 2019
Masters Opportunity of Research in Engineering (MORE) scholar Tempe, Arizona
Research Project proposal for better storage solution for hydrogen gas to replace the compressed hydrogen storage techniques in automobiles for charging the batteries faster than electric recharging. This research to support RONN Motor Group (RMG), a local Phoenix startup automotive OEM with plans to design and build FCVs.
Dwarkadas J Sanghvi College of Engineering
• SAE Aero Design Competition 2016 July 2015 – March 2016
Fuselage and Wings Designer, BE Second Year Project (Secured 3rd Overall worldwide ranking in 42 teams) Fort Worth, Texas
❖ Member of Aero designing team“DJS Skylark”, involved in making a radio-controlled aircraft for competition organized by SAE International giving an opportunity to get experience of complete product life cycle , 3D printing and knowledge of materials.
❖ Role of designing and prototyping of Fuselage in SolidWorks and the locking system for the integration of the Wings and Fuselage.
• BE Final Year Project - Design and CFD Analysis of Jet Engine August 2017 – March 2018 Designer, Analyst and Project Leader Mumbai, India
Design different components of the jet engine using CATIA V5. Graph the temperature, pressure and velocity variation over the whole system using CFD. Calculation of the actual thrust that the engine produces and comparing the software result with the numerical calculation.Error calculation with the measures to reduce it.