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Fares Bazazaoa

@faresbazazaoa

Machine learning applicant for an Arabic Text-to-Speech team; built a Python pipeline that detected simulated vibration anomalies.

Turkey

Message

What I'm looking for

I'm applying to the Arabic Text-to-Speech team and am available for full-time remote work.

I built a Python and SQLite pipeline for a simulated vibration anomaly detection project, extracting RMS, variance, peak, and FFT features from sampled data. I trained a One-Class SVM on healthy data and evaluated its performance on a simulated test set.

The model detected all abnormal examples in that test set, with 2–4% false alarms. I also documented its limits: it worked reliably above a 20% amplitude change and was weaker at detecting small frequency shifts.

I'm an Electrical and Electronics Engineering graduate from Gaziantep University and an M.Sc. student studying neural networks and machine learning. I'm a native Arabic speaker with strong Modern Standard Arabic and expert knowledge of Najdi Arabic, and I'm applying to the Arabic Text-to-Speech team.

Experience

Work history, roles, and key accomplishments

Technical Intern

Karayılan

Feb 2025 - May 2025 (3 months)

Assisted in installing and wiring low-voltage distribution panels from single-line diagrams and wiring schematics. Observed and assisted with PLC-based control systems and learned industrial electrical standards and safety practices.

PLC Electrical wiring Low Voltage Power Distribution Industrial Safety Schematic Reading

Education

Degrees, certifications, and relevant coursework

Gaziantep University

Master of Science, Electrical and Electronics Engineering

2026 -

Pursuing a Master of Science in Electrical and Electronics Engineering with coursework in neural networks and machine learning, expected to graduate in June 2028.