MrAjsal Shereef Palattuparambil

I am a PhD student at Deakin University, exploring Reinforcement Learning with a focus on Human-in-the-Loop systems—enabling AI agents to adapt effectively through human feedback and guidance. My research lies at the intersection of deep learning, sequential decision-making, and human-centered AI.
Prior to my PhD, I gained nearly three years of industry experience in India, working on computer vision-driven projects across domains. I have hands-on experience with neural networks, deep learning frameworks, and statistical modeling, and have contributed to building robust, data-centric solutions in real-world settings. I bring a well-rounded skill set that spans both theoretical depth and practical implementation.
I hold a postgraduate degree in Mathematics, which gives me a strong foundation in optimization, inference, and analytical thinking.
My goal is to bridge the gap between research and real-world impact, making intelligent systems more adaptive, interpretable, and collaborative.