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 300+ 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 300+ total citations
300+ 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 300+ total citations
In-depth insights on AI, Machine Learning, and cutting-edge technology trends
Ready to collaborate on AI innovation?