Arushi Jain
Arushi Jain

Hi! I am Arushi.

Mechanical Engineer

About Me

- My Introduction -

I am Arushi Jain, a Mechanical Engineering graduate from Carnegie Mellon University with 3+ years of experience in manufacturing and product design. Passionate about integrating machine learning into hardware design, I strive to create innovative, accessible technologies that drive positive change.

Education

- Where I've studied -
  • Master of Science in Mechanical Engineering – Research

    Carnegie Mellon UniversityPittsburgh, PAAug 2023 – May 2025
    • Mechanical Graduate representative for Spring 2025 at Carnegie Mellon University
    • Relevant courses: Generative AI, Deep Learning, Thermal Design, Mechatronic Design, CFD
    • Graduate Teaching Assistant: Applied FEA, Mechanical Modelling guided by Fundamentals, Product Design
  • Bachelor of Technology in Mechanical Engineering, minor in Mechanical Design

    Manipal Institute of TechnologyManipal, IndiaJul 2019 – Jun 2023
    • Relevant courses: Fatigue and Fracture, Finite Element Methods, Vibrations, Modern Control Theory

Skills

- An overview of my technical skills -

Programming Languages

  • Python
  • MATLAB
  • Simulink
  • R
  • C++
  • Minitab

Machine Learning

  • Deep Neural Networks
  • Physics-Informed Neural Networks
  • Generative AI

CAE Software

  • CATIA
  • SolidWorks
  • Fusion 360
  • Ansys Workbench
  • NX
  • Rhinoceros
  • COMSOL

Engineering

  • Mechanical Design
  • Thermal Design
  • SPC
  • GD&T
  • FEA
  • CFD
  • AM
  • DFMEA
  • Agile
  • Kaizen

Experience

- My work experience in the industry -
  • Process Engineer

    ConiferSunnyvale, CA, United StatesDec 2026 – Present
    • Executed DFM of axial-flux stators via an in-house APG process and closed potting molds for high-volume encapsulation
    • Designed in-house tooling, including an abrasive enamel-removal machine and fixtures for coil winding & laser welding
    • Owned the laser welding process for stator components from parameter development through production scaling
  • Founding Engineer - Mechanical

    Futurhand RoboticsPittsburgh, PA, United StatesJul 2025 – Dec 2025
    • Led the MacBook program as DRI, conducting technical assessments, optimizing designs, driving improvements via DFMEA and DOE, and drafting detailed vendor drawings
    • Reduced flexible PCB connector load by 50.3% by implementing a kirigami-inspired compliance design in the PCB through analysis and simulation; developed design guidelines to ensure optimal performance and reliability
    • Designed and developed the Test Buck Assembly for battery testing in portable devices
  • Product Design Intern – Battery Pack

    AppleCupertino, CA, United StatesMay 2024 – Aug 2024
    • Led the MacBook program as DRI, conducting technical assessments, optimizing designs, driving improvements via DFMEA and DOE, and drafting detailed vendor drawings
    • Reduced flexible PCB connector load by 50.3% by implementing a kirigami-inspired compliance design in the PCB through analysis and simulation; developed design guidelines to ensure optimal performance and reliability
    • Designed and developed the Test Buck Assembly for battery testing in portable devices
  • Quality Improvement Engineer

    Saint-Gobain – Glass ManufacturingChennai, IndiaSep 2021 – Jul 2023
    • Carried out defect analysis through XRF analysis and petrographic microscopic examination; implemented data-driven approaches to identify and mitigate defects — knots & stones — resulting in a 2% yield increase
    • Monitored and assisted in routine & non-routine quality tests adhering to ISO standards
    • Studied industrial robot installation for a manufacturing process involving technical surveying, recommendation of a suitable robot and its configuration, return on investment, and risk assessment; reduced process cycle time by 42%
  • Product Design Intern

    Cre-Aid LabsBengaluru, IndiaJan 2021 – Sep 2021
    • Designed a cost-effective (<$50), body-powered, modular, 3D-printed trans-radial prosthetic arm that mimics human hand functionality, enabling users to perform 20 essential grips for daily activities
    • Developed a myoelectric trans-radial prosthetic prototype using EMG sensors
    • Created 3D-printed, customizable orthopedic arm and foot orthoses currently in use by patients

Projects

- Some of the things that I have made -
Autonomous Robotic Biopsy System for Liver Tissue

Autonomous Robotic Biopsy System for Liver Tissue

Mechatronics course project, Carnegie Mellon University

Low-cost robotic system for precise needle insertion, using computer vision to achieve ±0.5 mm lesion localization.

Cryogenic Vaccine Storage Assembly for Air Drop

Cryogenic Vaccine Storage Assembly for Air Drop

Thermal Systems Analysis and Design course project, Carnegie Mellon University

Portable cryogenic system keeping vaccines at −70°C for 12+ hours in transit, validated with MATLAB and ANSYS.

Design of Upper and Lower Limb Orthoses

Design of Upper and Lower Limb Orthoses

Product development project, Cre-Aid Labs

Customizable 3D-printed orthotic splints in heat-malleable PLA, validated through patient and practitioner trials.

Development of Transradial Prosthetic Hand

Development of Transradial Prosthetic Hand

Product development project, Cre-Aid Labs

Low-cost (<$50), 140 g body-powered prosthetic hand with Whipple-tree finger control and a custom 3D-printed socket.

2D Simulation of LMO Batteries

2D Simulation of LMO Batteries

Research project, Panat Lab · Carnegie Mellon University

Coupled electrochemical simulation with additive manufacturing to compare 3D-structured, cobalt-free Li-ion electrodes in COMSOL.

Deep Learning-Enhanced FEA for Bioprosthetic Heart Valves

Deep Learning-Enhanced FEA for Bioprosthetic Heart Valves

Deep Learning course project, Carnegie Mellon University

Graph neural network FEA surrogate for heart valve deformation, achieving R² = 0.96 vs. a 3D CNN baseline.

CFD Analysis of Immersion Cooling for Batteries

CFD Analysis of Immersion Cooling for Batteries

Computational Fluid Dynamics course project, Carnegie Mellon University

Python/MATLAB Navier-Stokes solver for immersion-cooled battery packs, cutting temperature variation by 20%.

High-Fidelity Melt Pool Modeling Using Generative Diffusion Networks

High-Fidelity Melt Pool Modeling Using Generative Diffusion Networks

Generative AI course project, Carnegie Mellon University

Diffusion super-resolution model upscaling LPBF melt-pool simulations, cutting compute time 100x with defect fidelity preserved.

Knots: Defect Analysis in Soda-Lime Glass

Knots: Defect Analysis in Soda-Lime Glass

Yield improvement project, Saint-Gobain

Traced knot defects in soda-lime glass via XRF spectroscopy and process correlation, improving yield by 2%.

Stones: Defect Analysis in Soda-Lime Glass

Stones: Defect Analysis in Soda-Lime Glass

Yield improvement project, Saint-Gobain

Studied petrographic properties of solid inclusion defects via thin sectioning and microscopy to trace their source.

Contact Me

- Looking forward to hearing from you -