Specializing in LLMs, Computer Vision, and Generative AI with 10+ years of experience bridging research and real-world applications.
With over 10 years of experience spanning software engineering to AI research, I specialize in designing and deploying cutting-edge models that bridge the gap between research and real-world applications.
My work focuses on large language models (LLMs), computer vision (YOLO architectures), and multimodal AI. I've co-led projects involving prompt engineering, agent orchestration using LangGraph, and integrated LLM-powered tools in collaborative research environments.
I bring a product mindset to research innovation, thriving on building prototypes, coordinating diverse teams, and translating emerging AI advancements into production-ready solutions. My published research has garnered 584 citations across 11+ papers.
10+ years of software engineering and AI leadership spanning Malaysia, Bangladesh, and the UK
Professional accomplishments and academic honors
Artificial Intelligence - University of Huddersfield
2024Outstanding academic performance - Brac University
2020Consistent academic excellence throughout undergraduate studies
2017-2020Enhanced AI model performance for railway safety systems
Performance Boost 2024Web application optimization leading cross-functional teams
Efficiency Gain 2023Successfully managed three teams across multiple projects
Leadership Impact 2020-2022Published in arXiv, IEEE, MDPI, and other prestigious venues with 584 total citations
584 Citations 2017-2025Handwritten digit recognition using convolutional neural networks
High Precision 2017Pallet racking damage detection using attention CNN
Detection Enhancement 202411 publications spanning YOLO architectures, computer vision, and AI applications with 584 total citations
In-depth insights on AI, Machine Learning, and cutting-edge technology trends
Ready to collaborate on AI innovation?