Ramin Nassiri

Fähigkeiten und Kenntnisse

Anomaly Detection
Condition Monitoring
Audio Processing
Cross-validation
C (Programming Language)
Git
Digital Signal Processing
C++
Linux
DIgSILENT PowerFactory
CMake
Machine Learning
Edge AI
MATLAB
Embedded C
PyQt
Matplotlib
Embedded Systems
Python (Programming Language)
MicroPython
ESP-IDF
Reverse Engineering
NumPy
ESP32 Microcontrollers
pandas
scikit-learn
Feature Engineering
SciPy
Power Distribution
Signal Processing
Predictive Maintenance
TinyML

Werdegang

Berufserfahrung von Ramin Nassiri

  • Bis heute 6 Monate, seit Juni 2026

    Sortation Associate

    Amazon

    Fixed-term role alongside my search for an engineering position.

  • 2 Monate, März 2022 - Apr. 2022

    Research Laboratory Intern

    OTH Regensburg

    High Frequency Technology & Optical Transmission Systems Laboratory, supervised by Prof. Dr. Thomas Fuhrmann. 11 weeks, full-time. • Built two Python/PyQt desktop apps that simulate Yb-doped fiber amplifiers with the PyFiberAmp library: PowerEvolutionASE (power evolution and ASE spectra) and PowerEvolutionReflection (Fresnel back-reflection). • The older simulation code no longer ran with current library versions, so I rewrote the simulator on PyFiberAmp. I added default parameters, input validation, error

  • 3 Monate, Juni 2017 - Aug. 2017

    Electrical Engineering Intern

    Tehran Province Electricity Distribution Company

    Daneshgah Power Department. 300 hours, full-time, as part of my B.Sc. • Inspection team member for planned periodic inspections of 20 kV/400 V distribution substations: checks, tests and troubleshooting. • Took manual measurements at substations without automatic monitoring and entered the operating data in ENOX, the company's substation database. • Accompanied the design and repair teams as an observer.

Ausbildung von Ramin Nassiri

  • 2021 - 2025

    Master of Engineering

    OTH Regensburg

    Master's thesis (grade 1.0): Audio-Based Bearing Fault Detection on Resource-Constrained Microcontrollers: An Ablation-Driven Study. Relevant coursework: Multi-processor and Multi-core Design for Reliable Embedded Systems; Electronic Product Engineering; Advanced Semiconductor Technology.

  • 2013 - 2018

    Bachelor of Science

    Shahid Beheshti University

    Bachelor's thesis: reliability-centered (RCM) vs. time-based (TBM) maintenance for distribution transformers. In a DIgSILENT simulation of 5 transformers over 12 years, reliability-centered maintenance needed a third fewer maintenance actions than time-based maintenance (10 vs. 15) for 8% more ener

Sprachen

  • Englisch

    C1 (Fließend)

  • Persian

    C2 (Verhandlungssicher / Muttersprachlich)

  • Deutsch

    A1-A2 (Grundkenntnisse)

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