M.Sc. in Electrical Engineering, RWTH Aachen University.
I work with Python for automation, AI modeling, and data-driven workflows in
power and electronic systems.
I am an electrical engineer skilled in Python-based data automation, AI modeling, and optimization for power and electronic systems. I enjoy turning measurements, simulations, and models into robust engineering tools.
Focus on AI for power and electronic systems, data analysis, optimization, and signal processing.
Designed and simulated RF / analog circuits and wideband balanced bandpass filters.
Developed Python tools for grid optimization and network calculation in medium-voltage grids.
Performed hardware testing and signal analysis for communication and switching systems.
A selection of academic and engineering projects related to AI, modeling, and digital energy systems.
Oct 2024 – May 2025 · RWTH Aachen
Develop AI models to detect and classify power quality disturbances from simulated and measured grid data.
Apr 2023 – Jul 2023 · RWTH Aachen
Applied predictive ML algorithms to study congestion control schemes and compared them with rule-based methods.
Oct 2022 – Feb 2023 · RWTH Aachen
Built a Python-based anomaly detection and alerting system, performed diagnostics and penetration testing.
Chongqing University
Designed and simulated wideband balanced bandpass filters with common-mode suppression using ADS.
Daily driver for data automation, power-system modeling, and ML.
Strong engineering background with compiled and simulation languages.
Working with real-world datasets, APIs and collaborative workflows.
Experienced in circuit modelling, PCB development, and power-electronics simulation using industry EDA tools.
If you’d like to talk about opportunities, projects, or collaborations, feel free to reach out.