Pentatonic Scale

I developed an automated solar-panel fault-detection framework using hybrid wavelet-transform feature extraction and a deep neural network. Built in Python, it helps identify and classify photovoltaic faults to support more efficient renewable-energy maintenance.

As an Electrical & Electronic Engineering graduate from KUET, I work across power system analysis, renewable energy, power electronics, electrical machines, and signal processing. I use MATLAB, ETAP, Proteus, PSpice, AutoCAD Electrical, Python, and C to turn engineering concepts into practical analyses and prototypes.

I also designed and built a microcontroller-based digital tachometer that measures motor RPM in real time, integrating sensor input, programming, and display output. This project strengthened my circuit design, embedded-systems, and hardware–software integration skills.

Beyond technical work, I served as Vice President of the Chattogram Association of KUET, where I coordinated activities, organized events, and supported student members. I'm seeking an entry-level opportunity in Bangladesh's power, energy, or electronics sector.