Arvind R.

I am an Aerospace Engineer and I am proficient in CAD modelling, Rigid Body Dynamics and Control systems. The tools I am comfortable using include Autodesk inventor, fusion360, Solidworks and Matlab/Simulink Apart from this, I am also proficient in CFD, FEA and thermal analysis using Ansys. Professional Outline Academic Background: UNIVERSITY OF MARYLAND, College Park, MD: M.Eng. Aerospace Engineering AMRITA SCHOOL OF ENGINEERING, India: B.E. Aerospace Engineering Certifications: MIT: Discovering and Implementing Your Leadership Strengths Certificate ID: ab524e48-c963-4ecc-bd49-9833b0bdf851 MIT: Machine Learning, Modeling, and Simulation Principles Certificate ID: dc123f7f-1092-4bfb-a820-13ccc62e2a70 Current skills and services: Python AutoCAD Ardupilot/Pixhawk Stability & Control Systems C++ Inventor Raspberry pi Engineering Simulations Matlab/Simulink Fusion360 Arduino 3D Modelling ROS/ROS2 Solidworks Nvidia Jetson Aerodynamics Linux Catia Pytorch/TensorRT Prototyping AI tools Ansys Deepstream Vehicle Automation Professional Experience AINET | Freelance Aerospace & Robotics Engineer Engineered and developed advanced eVTOL drone systems and automated ground vehicles by integrating microcontrollers and sensors to achieve autonomous functionality. Led the design of mission-capable UAVs for Department of Defence RFI/RFP submissions, creating designs that successfully met or exceeded specified flight envelopes and mission goals. Architected and deployed an advanced machine vision system for guidance and navigation, utilizing a stereo disparity ML model to generate real-time depth maps from custom-built stereo cameras. Executed comprehensive flight tests on Pixhawk-based UAVs, successfully tuning flight stability parameters and validating advanced guidance and navigation systems. Developed custom ROS2 drivers and packages in C++ and Python to integrate sensors like rangefinders, LIDARs, and cameras into a unified robotics architecture. Architected and deployed a sophisticated object detection and classification system for autonomous vehicles by training an AI model with NVIDIA TAO and running it on an NVIDIA Jetson computer. Empathy Labs | Technical Lead, Dubai Maritime City Project Secured a key maritime project by authoring the winning technical proposal for an ML-assisted predictive maintenance system, praised by the client as the 'best technical report' for its superior implementation methodology. Directed technical research and hardware feasibility studies, running comparative analyses to select and procure optimal hardware solutions from vendors. Implemented ML/AI-based analysis for critical system tasks, including equipment health checks and load-bearing assessments. InstaDApp | Freelance Aerospace Engineer Optimized satellite and cubesat structural designs to increase orbital life and reduce long-term propulsion costs. Validated designs by simulating complex orbital mechanics, including launch, orbital entry, and orbit jumps, using MATLAB/Simulink. Modeled satellite bus arrangements in Solidworks and Autodesk Inventor to confirm system dynamics, stability, and maneuverability in orbit.