Syed Arib Hasan

Computer Science and Engineering graduate from BRAC University (CGPA 3.62), specialising in machine learning, deep learning, and full-stack software engineering. My work sits at the intersection of intelligent systems design and practical engineering, with a focus on building models that perform rigorously on benchmarks and integrate cleanly into production environments. My primary research domain is deep learning, with focused work in computer vision, medical image analysis, and signal-based classification.

I design and evaluate convolutional, recurrent, and transformer-based architectures, spanning hybrid and attention-augmented designs, and benchmark them rigorously against established baselines. My modelling work is grounded in PyTorch, with broader fluency across the scientific Python ecosystem including NumPy, Pandas, scikit-learn, and OpenCV.

Secretary, IT Department at Robotics Club of BRAC University (ROBU) (2025-05 – Present)

• Lead IT operations and guide technical direction of the robotics team
• Conduct workshops on robotics systems including line-following robots and IoT projects
• Mentor junior members in building and deploying robotics solutions

BSc in Computer Science & Engineering – BRAC University (2022-09 – 2026-05)

Higher Secondary Certificate – Chattogram Cantonment Public College (2019-06 – 2021-12)