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GETU MEGERSA

@getumegersa

AI data evaluator at Silesian University of Technology, modeling additive-manufacturing parameters for CF-PEEK composites.

Poland
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What I'm looking for

I’m seeking AI response evaluation, STEM AI training, or data-quality work where I can apply my engineering domain expertise and experience with technical analysis.

At Silesian University of Technology, I apply statistical and AI techniques to model and optimize additive-manufacturing parameters for carbon fiber-reinforced PEEK composites. I evaluate experimental results from mechanical tests and material-characterization methods.

I received a 2024–2025 university research grant for artificial neural network modeling of stress distribution in CF-PEEK dental implants. My research also includes engineering simulation and process optimization.

At Jimma University, I used Design of Experiments and Taguchi methods to analyze how 3D-printing parameters affect tensile properties; the findings were published in Materials in 2024. I also support additive-manufacturing instruction and have taught engineering courses.

Experience

Work history, roles, and key accomplishments

Silesian University of Technology logoST
Current

PhD Researcher

Silesian University of Technology

Jan 2023 - Present (3 years 9 months)

Applying statistical and AI techniques to model and optimize additive-manufacturing parameters for carbon fiber-reinforced PEEK composites. Collecting and evaluating experimental results from mechanical tests, surface measurements, SEM, micro-CT, and DSC.

Education

Degrees, certifications, and relevant coursework

Silesian University of Technology logoST

Silesian University of Technology

PhD, Materials Engineering

2023 -

PhD in Materials Engineering in progress, focusing on AI and statistical modeling of additive manufacturing parameters for CF-PEEK composites.

UD

Udemy

Complete Python Programming Course, Programming

2022 - 2023

Completed Complete Python Programming Course and CATIA V5 training.

Udemy logoUD

Udemy

CATIA V5, CAD

2022 - 2023

Completed CATIA V5 training.

Jimma University logoJU

Jimma University

Master of Science, Mechanical Systems Design

2021 - 2023

Grade: 3.98/4.00

MSc in Mechanical Systems Design with a GPA of 3.98/4.00.

Jimma University logoJU

Jimma University

Bachelor of Science, Mechanical Engineering

2014 - 2019

Grade: 3.83/4.00

BSc in Mechanical Engineering with a GPA of 3.83/4.00.

Tech stack

Software and tools used professionally

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