Syed amaan Hasan

I’m an M.Tech scholar in Artificial Intelligence and Machine Learning and a B.Tech CSE graduate, focused on turning rigorous theory into deployable research. My work centers on multimodal understanding, hallucination detection, and model safety—backed by published research and a granted patent for assistive technology.

I’ve committed to academia through my tenure as a Lecturer at Shivalik University, where I delivered lectures and lab sessions for Neural Networks and AI/ML, developed course materials and assessment design, and guided students through technical project work. I also organized ACM chapter events, coding competitions, and a 36-hour national-level hackathon to promote student research and innovation.

In industry and research engineering, I’ve optimized evaluation workflows for multimodal LLMs—engineering 500+ structured prompts and improving response accuracy by 25% while reducing hallucinations, plus improving model safety scores by 15%. I also contributed to government-funded geospatial AI projects at Tulas University, achieving 92% accuracy in land-cover classification and building automated reporting workflows that reduced generation time by 40%. I bring this combined teaching-and-research mindset to mentoring the next generation of technologists and driving university research initiatives.