
Osman Eray Erdoğan
@osmanerayerdoan
Electrical-Electronics Engineering student at Marmara University who developed a cross-domain PSD estimation pipeline.
What I'm looking for
At Marmara University, I developed a cross-domain PSD estimation pipeline that compared five estimators across QPSK-OFDM, EEG, and audio noise. The findings showed that LMS adaptive pre-filtering does not uniformly improve PSD accuracy and form the basis of a paper in preparation.
I automated the pipeline’s results in Python, generating Excel and CSV reports alongside heatmaps and spectrograms. I also designed a multi-metric framework to compare the methods.
As an AI Research Intern at Huawei Technologies Co. Ltd., I prepared training datasets and trained large language models using five training methods. I evaluated outputs and internal representations with Explainable AI methods and documented findings for ongoing research.
At CRC Elektronik, I verified DC power system units through functional and load testing and contributed to production validation. I currently draw and plan transformer-substation electrical schematics at Armtek Elektrik using EPLAN Electric P8.
Experience
Work history, roles, and key accomplishments
Project Engineering Intern
Armtek Elektrik
Sep 2026 - Present (2 months)
Draw and plan EPLAN Electric P8 electrical schematics for transformer substations, turning customer requirements into project-ready designs.
Test Engineering Intern
CRC Elektronik
Jun 2025 - Sep 2025 (3 months)
Verified 4 different types of DC power system units against specifications by running functional and load tests with oscilloscopes, multimeters and DC power supplies, supporting engineering sign-off. Contributed to the production of the same units, validating power components and DC power connections to ensure hardware-level quality.
Prepared training datasets and trained large language models (LLMs) with 5 different training methods using an LLM repository, enabling comparison of model behavior and performance. Identified reasoning-quality and interpretability gaps by evaluating model outputs and internal representations with Explainable AI (XAI) methods, and documented the findings for ongoing AI research. Completed structur
Education
Degrees, certifications, and relevant coursework
Marmara University
Bachelor of Engineering, Electrical-Electronics Engineering
2022 -
Grade: 82.1/100
Activities and societies: Board Member, Electrical and Electronics Engineering Student Committee (Oct 2023 – Jun 2025)
Final-year Electrical-Electronics Engineering student at Marmara University, expected to graduate in January 2027.
Availability
Location
Authorized to work in
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