Rakat Murshed

I am a dedicated research assistant at Max Plank Empirical Aesthetic, where I specialize in predictive modeling and machine learning for aesthetic analysis. With a Master of Engineering in Information Technology from Frankfurt University of Applied Sciences, I have developed a strong foundation in deep learning and data analysis. My work involves implementing machine learning algorithms, including deep learning frameworks, to process and analyze large datasets, extracting meaningful insights that drive impactful research.

I also hold a Bachelor of Science in Electrical and Electronic Engineering from North Western University, where I graduated with high distinction. My technical expertise includes proficiency in Python, MATLAB, and deep learning frameworks like TensorFlow and PyTorch, which I leverage to solve complex, real-world problems.