Benzir Ahammed Shawon

Benzir Ahammed Shawon (বাংলা: বেনজির আহম্মেদ শাওন) is a Computer Science and Engineering graduate from the School of Engineering and Physical Sciences at North South University and is currently pursuing a Master of Science in Applied Mathematics and Computational Science (MSc in AMCS) at the same university. He has a strong interest in competitive programming, deep learning, artificial intelligence, and computational mathematics.

Throughout his academic journey, Benzir has conducted research and regularly shared ideas as a columnist on data, AI, education, economics, and public policy, with several opinion pieces published in national newspapers such as The Daily Star, Dhaka Tribune, Dhaka Stream, etc.

He is skilled in multiple programming languages, including Python, Matlab, Java, C, and C++, and works with Django, React, and modern AI frameworks. He also enjoys playing video games—the Ubisoft's Far Cry series being his favorite. With a solid understanding of combinatorics and a competence for spotting patterns, he finds inspiration in works like Johannes Kepler's Harmonies of the World and Fibonacci's Liber Abaci.

During the COVID-19 pandemic, he worked on genome sequencing using data from GISAID. He is experienced in Retrieval-Augmented Generation (RAG) applications using vector databases, prompt engineering, and fine-tuning large language models. His CSE499 capstone research focused on proposing a novel evaluation metric for large language models from a South Asian perspective, where he analyzed models such as LLaMA, Gemma, and GPT-based systems. In his sophomore year, he built a compiler that converts high-level assembly code into ARM-M architecture, demonstrating a strong foundation in computer engineering. He also earned two honorable mentions in ICPC regional competitions, highlighting his strength in algorithmic problem-solving.

While at North South University, Benzir held key leadership positions, including President of a US-based organization’s student chapter and Director of Publications and Research. His academic work spans machine learning, natural language processing, robotics, and applied mathematics. He completed multiple major academic projects, including junior design, senior design, and directed research, covering topics such as language understanding, UAV localization, semantic analysis, reinforcement-learning-based SLAM, and sensor-based flood detection systems using embedded hardware.

Beyond academics, Benzir has worked on several real-world software and research projects, including building AI-powered tools, web applications integrating multiple cloud storage accounts, browser extensions for automated content processing, and research on efficient solar drying systems for coastal Bangladesh. He also worked as a web developer for a civil society magazine run by a senior lecturer from the NSU Law Department, contributing to online publishing and digital outreach on legal and social issues. During his undergraduate years, he was offered a position as a Research and Development Engineer at a research institute, where he contributed to applied research in intelligent systems and computational technologies.