Miguel Artazos

Semiconductor equipment / electromechanical systems

Equipment engineering work

Mechanical Engineer · Rice MEML

Projects across electromechanical assembly, CAD, rapid prototyping, embedded controls, instrumentation, and measured iteration. I am currently extending this foundation through focused study of semiconductor fabrication equipment and process fundamentals.

Semiconductor resume PDF

Contact

Emailma300@rice.eduLinkedInMiguel ArtazosGitHubmiguelartazos

Relevant experience

Rice SEIP / EatonEngineering design automation · 2026
University of St. ThomasRobotics + nanotech TA · 2024-2025
Elawan EnergyInstrumentation data + automation · 2025

Current semiconductor study

Fab equipmentArchitecture, automation, process control
Process fundamentalsPhotolithography, ALD, CVD, PVD
Equipment environmentVacuum systems, instrumentation, reliability
WorkRoboticsEnergySemiconductorsResume
Selected workScroll / 05
Front view of the finalized wave energy converter mechanism
01Wave Energy ConverterCrank-driven wave-energy prototype with rotor/stator generator hardware, hand-wound coils, N52 magnets, wiring, DAQ, and pool testing.

Mechanical / DAQValidated · 2024-2025

Front view of the Miller Outdoor Theatre anniversary maquette
02Hermann Park MaquetteSmall white wood gift box with embedded controls, audio, lighting, display, and hidden rail motion.

MechatronicsBuilt · 2026

Tracked classroom robot with blue frame, motors, tracks, and gripper
03Mobile ManipulatorTracked drivetrain, actuated arm, gripper hardware, controller wiring, and kinematics coursework.

RoboticsBuilt · 2025

SEIP project proposal slide for agentic AI in engineering design
04SEIP / EatonCurrent Rice SEIP work at The Ion with engineering specs, CAD constraints, and design-loop experiments.

CAD / AIIn progress · 2026

Diagram of a renewable-asset data workflow from SCADA and meteorological inputs to quality control, performance analysis, and reporting
05Elawan Energy AnalyticsWind and solar asset analysis across 250M+ time-series records, with an automated review pipeline that reduced processing time by 91%.

Energy / Data EngineeringCompleted · 2025

Explore the full collection of robotics, energy, software, and product work.

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