I am Abu Kaisar Mohammad Masum, a dedicated professional in machine learning, natural language processing, and quantum machine learning. I have started my Ph.D. in Computer Science at the University of Louisiana at Lafayette, where I am focusing on Quantum-Classical machine learning research as a Graduate Research Assistant. Currently, I am involved in several projects, such as building Quantum-Classical Hybrid models for machine learning and exploring Quantum-Attention mechanisms for large language models (LLMs). I also have a research plan to design a Classical Quantum Data Encoding Method for Quantum Machine Learning Algorithms. I have experience as a lecturer at Daffodil International University, teaching various undergraduate courses such as machine learning, AI, and Datamining and designing new ones. Additionally, I conducted extensive research, contributing to reputable journal and conference publications, earning me awards and recognition.My passion for education and commitment to advancing AI and ML drove me throughout my career. I've also worked as a Research Assistant at Apurba-DIU R&D Lab, a team leader for Optical Character Recognition annotation, and a Researcher at DIU NLP and Machine Learning Research Lab, specializing in transformers and language models.My technical skills encompass Python, libraries like Numpy and TensorFlow, NLP frameworks, and quantum computing tools like IBM Qiskit and Pennylane QML. I've actively participated in conferences and journals, including serving as a Program Committee Member. I've been honored with awards, including the "Best Performing Faculty 2021 Members Award" and the "Best Researcher Award 2020."Beyond academia, I've volunteered at research labs like Computational Intelligence Lab and PetaAI Solutions. In summary, my career has been defined by a passion for AI and ML, dedication to education, and a commitment to impactful contributions in this dynamic field.