Computer Science and Engineering graduate from BRAC University with hands-on experience in machine learning, FPGA/Verilog hardware design, databases and robotics. Co-authored a thesis on a real-time, low-power deepfake detection system, combining a Python/ML pipeline with a synthesized hardware design. Seeking an entry-level software, AI/ML or automation engineering role where I can build reliable, efficient systems and grow quickly.
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Built a deepfake detector on 25 interpretable image features (sensor noise, Laplacian, gradient, spectral, steganalysis, texture) instead of a heavy neural network, targeting low-power edge devices. Trained a stacked ensemble (Random Forest, Extra Trees,
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built and evaluated models in Python, comparing results with accuracy and AUC metrics.
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Verilog and FPGA modules, hardware-software interfacing, and a hands-on robotics project.
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designed a relational database and wrote SQL queries to store, retrieve and summarise data.
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carried out requirement analysis and system design for a software system, including process documentation.
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B.Sc. · Computer Science and Engineering