Experience

• Worked with industrial collaborator, Robotbulls, Luxembourg, on Financial Natural Language Processing (NLP). Proposed a layer-wise adaptive fine-tuning strategy for domain-specific training, showing that smaller LLMs (~3B) can outperform GPT-4 [BigData'2025]. Introduced bidirectional reasoning supervision for multilingual financial decision-making [EMNLP'2025].
• Exploring efficient LLM training strategies for stable generation with smaller multimodal LLMs. Proposed integration of hypercomplex factorization in vision-language architectures with weight distillation for stable quantization [WACV'2026].

• Built and released a meta-analysis dataset linking meta-articles with supporting papers. Proposed a chunk-based LoRA fine-tuning approach enabling LLMs to process and synthesize large contextual data effectively [IEEE BigData'2024].
• Contributed to LLM alignment with human reasoning [ICPR'2025], standardization of the Bangla dialect [IEEE BigData'2024], automation of the DSPy framework using reinforcement learning [EMNLP'2025], and designing a dynamic temperature scheduler for multimodal knowledge distillation [IEEE BigData'2025].

• Developed a reasoning approach that delves into the intricate landscape of early marriages in Bangladeshi regions, using machine learning techniques and data analysis to illuminate the diverse factors that influence early marriage.
• Advisor: Dr. Sifat Momen, Associate Professor, Department of ECE, NSU.

👨‍🔬 Supervisors: Dr. Nabeel Mohammed, Dr. Shafin Rahman, Dr. Sifat Momen

• Applied machine learning techniques to computational fluid dynamics (CFD) problems in mechanical engineering, integrating AI models for predictive simulation and performance optimization [PDEAM'2024, EAAI'2025, ATE'2025].
• Developed a surrogate method for fluid mechanics analysis using deep learning to reduce computational effort in turbulence modeling.

👨‍🔬 Supervisor: Dr. Md. Mamun Molla, Professor and Chairman, Department of Mathematics & Physics, NSU.

• 📚 Courses Taught: Operating Systems, Natural Language Processing, Software Engineering
• Supervised students on research methodology, model tuning, experimentation, and paper writing.

• 📚 Courses: CSE465: Pattern Recognition and Neural Network, CSE445: Machine Learning, CSE425: Concepts of Programming Languages
• Quiz and assignment script grading, assisting students regarding course contents at specific office hours, exam proctoring, assisting faculties in content preparation, and grade finalization.
• Hold regular office hours to guide students with course materials, lab work, and exam preparation.

• 📚 Courses: MAT116: Pre-Calculus, MAT120: Calculus II, MAT130: Calculus III, MAT250: Calculus IV, MAT350: Engineering Mathematics
• Conducted sessions to support students' understanding of fundamental and advanced mathematical concepts.
• Graded assignments and homework in a timely and consistent manner across multiple mathematics courses.
• Quiz and assignment script grading, exam proctoring, assisting faculties in content preparation and grade finalization.