Moh Faza Rosyada
AI Engineer Specialized in Engineering Simulation & Design
Bridging the gap between Design Manufacturing and Artificial Intelligence. I build AI systems that accelerate simulation processes, from Surrogate Models to PINNs.
About Me
I am a 33-year-old Engineer with a unique blend of Mechanical/Physics Engineering and Applied AI. My journey began at Universitas Gadjah Mada (Physics Engineering), where I developed a strong foundation in sensors, control systems, and acoustics.
I spent 7 years in the Rolling Stock Manufacturing industry, serving as both Project and Product Engineer. My work focused on measurement systems for railway applications. Driven to deepen my expertise, I pursued a Master's in Mechanical Engineering at Institut Teknologi Bandung (ITB), specializing in Noise and Vibration.
Currently, I work as a System Engineer / AI Engineer in Japan. Unlike traditional data scientists, I leverage my deep engineering domain knowledge to build AI systems explicitly for manufacturing purposes. My expertise lies in creating AI solutions—such as Surrogate Models, 3D Computer Vision, and Physics-Informed Neural Networks (PINNs)—that drastically reduce simulation times in the design process.
Experience
System Engineer - AI Engineer
2023 - PresentManufacturing Company, Japan
Building AI systems for manufacturing, specializing in Surrogate Models, 3D Computer Vision, and Physics-Informed Neural Networks (PINNs) to accelerate design simulation processes.
Project / Product Engineer
2016 - 2023Rolling Stock Manufacturer
Specialized in measurement systems, control systems, acoustics, and vibration for railway systems. Managed complex engineering projects over a 7-year tenure.
Education
Institut Teknologi Bandung (ITB)
2020 - 2023Master of Mechanical Engineering
Specialized in Noise and Vibration Control.
Universitas Gadjah Mada (UGM)
2010 - 2015Bachelor of Physics Engineering
Control Systems, Acoustics, Noise & Vibration, and Measurement Systems.
Featured Projects
Surrogate Model for Simulation
Developed an AI surrogate model to predict engineering simulation results instantly, drastically reducing design iteration time.
Physics-Informed Neural Network (PINN)
Implemented PINNs to solve differential equations governing physical phenomena, integrating data with physical laws.
3D Computer Vision for Manufacturing
Created a 3D vision system for automated inspection and measurement in a factory setting.
Let's Connect
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your visions.
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