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Mechanical Engineering at Johns Hopkins University

Khush
Patel

Building systems at the intersection of
Electromechanics & Simulation

SolidWorks Tolerance Stack GD&T Ansys FEA Python / NumPy / SciPy Creo PTC ROS2 CFD (Fluent/CFX/OpenFOAM) DFM / DFMEA
Khush Patel

About Me

I'm Khush Patel, a Mechanical Engineering student at Johns Hopkins University focused on electromechanical systems.

My technical foundation spans CAD design in SolidWorks and Creo PTC, finite element analysis in Ansys Workbench, computational fluid dynamics in OpenFOAM, and simulation in ROS2. I write control and analysis code primarily in Python, leveraging NumPy and SciPy for numerical methods.

Outside of work, I enjoy going on hikes, running, weight lifting, and finding new bike trails!

Currently looking for opportunities in robotics, computational engineering, and electromechanical systems for Summer 2027.

Khush's passions

Experience

Internships

Professional experience applying engineering principles in real-world environments.

Summer 2026 / Etters, PA

Development Engineer Intern

Amphenol / High Speed I/O Connectors

Designed and analyzed high-speed connector components in SolidWorks, ran FEA simulations in Ansys to optimize for mechanical durability, and applied tolerance stacking with GD&T principles to make sure everything was manufacturable. Collaborated with cross-functional teams to conduct design reviews and implement DFM/DFMEA best practices. Work directly contributed to products supporting hyperscale cloud, AI, and data-center applications.

SolidWorks Ansys FEA GD&T Tolerance Stack DFM / DFMEA
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Academic Research

Research

Robotics research at the intersection of computational control and agile systems.

AIRO Lab / LCSR / JHU
Ongoing

Agile and Intelligent Robotics Laboratory

Prof. Joseph Moore / Department of Mechanical Engineering / Johns Hopkins University

Contributing to research at the AIRO Lab, which develops robust, highly agile robotic systems through computational autonomy and intelligent control. The lab's work sits at the intersection of computational control, computational physics, and machine learning to enable robots to operate reliably in complex, real-world environments.

My work in the lab focuses on CFD simulation and analysis relevant to the lab's agile robotic platforms. I set up, run, and post-process high-fidelity fluid flow cases to investigate flow phenomena and inform design decisions.

Lab AIRO Lab / LCSR
PI Prof. Joseph Moore
Focus CFD / Agile Robotics
Tools OpenFOAM / Python
CFD OpenFOAM Python Mesh Generation Computational Control Robotics
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Source: Gino Perrotta, Luca Scheuer, Yocheved Kopel, Max Basescu, Adam Polevoy, Kevin Wolfe, Joseph Moore: Planning and Control for a Dynamic Morphing-Wing UAV Using a Vortex Particle Model. In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 6949–6954, IEEE 2023.

Personal Projects

What I've Built

End-to-end projects spanning design, simulation, fabrication, and control.

Let's Connect

Get in Touch

If you'd like to discuss anything at all, my inbox is always open! I typically respond within 24 hours.

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