Graduate Engineer
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A graduate Electrical and Electronics Engineer with a strong foundation in control systems, power engineering, embedded technologies, and data-driven engineering. I combine systems thinking with hands-on technical expertise to design smart, scalable solutions that leverage emerging technologies, including AI-assisted analytics, intelligent sensing, and edge computing. My academic and project experience reflect anatural drive to understand complex systems, optimize performance, and build technology that solves real-world problems with precision and impact.
I am motivated to contribute to innovative engineeringenvironments that value curiosity, continuous learning, and forward-looking problem-solving.
Developed a vibration-based SHM system for hollow metal structures that extracts frequency-domain features from impulse tests and applies a Random Forest model to classify damage and estimate depth; validated on a benchmark dataset (348 samples, 9 damage levels) achieving 95.98% classification accuracy and R² = 0.985 for damage-depth regression, with a 60.3% feature-dimensionality reduction and model optimizations for edge deployment; complete embedded prototype design and performance analysis included.
Power Systems, Power Electronics, Electrical Machines, Signals and Systems, Instrumentation and Control, Technology & Project Management, Electrical Projects.
