Mr. Arifur Rahman, NAGAD Digital Financial Service, Bangladesh
Arifur Rahman 🎓 is a passionate researcher and software engineer from Bangladesh 🇧🇩, specializing in Machine Learning 🤖, Deep Learning 🧠, NLP 📚, and Bioinformatics 🧬. A graduate of KUET in Computer Science and Engineering 💻, he has excelled in both academia and industry. Currently, he serves as a Full Stack Developer 🧑💻 at NAGAD Digital Financial Service, contributing to innovative supply chain projects. Arifur is also an active researcher with several IEEE and Elsevier publications 📝, and has earned recognition in programming contests 🏆. His dedication to applied AI and system development showcases a unique blend of technical and research excellence 🚀.
🌍 Professional Profile
Google Scholar
🎓 Education
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🎓 B.Sc. in Computer Science and Engineering, KUET (2018 – 2023)
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🏫 Noakhali Govt. College (2015 – 2017)
👨💼 Experience
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🧑💻 Software Engineer, NAGAD Digital Financial Service (Feb 2024 – Present)
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🔬 Research Engineer (NLP), AIMS Lab, United International University (Oct 2023 – Feb 2024)
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👨💻 Software Engineer, Nazihar IT Solution Ltd. (May 2023 – Sep 2023)
🏆 Suitability for Best Researcher Award
Mr. Arifur Rahman is an exceptional candidate for the Best Researcher Award, demonstrating strong potential and proven excellence in research and innovation across emerging domains such as Machine Learning, Deep Learning, Natural Language Processing (NLP), Health Informatics, and Biomedical Engineering. His impactful research, hands-on development skills, and academic contributions distinguish him as a rising leader in computational science and applied AI.
🔹 Professional Development
Arifur Rahman 🚀 is actively involved in both industry-driven software engineering and cutting-edge academic research 📖. His journey has been marked by continuous professional growth, serving in roles that merge development and innovation 💼. At NAGAD, he contributes as a Full Stack Developer 🌐, while his time at AIMS Lab sharpened his NLP and recommender system expertise 🧠. He has also contributed as a reviewer in IEEE conferences 📑, showcasing his engagement with the global research community. Arifur’s hands-on experience with technologies like Flutter, Java Spring Boot, ReactJS, and blockchain 🔗 highlights his dynamic skill set and commitment to excellence ⭐.
🔍 Research Focus
Arifur Rahman’s research focuses on a diverse range of AI-powered technologies 🧠, with core interests in Machine Learning, Deep Learning, and Natural Language Processing 🤖📚. His work explores real-world applications such as health informatics 🏥, bioinformatics 🧬, fake news detection, and blockchain security 🔐. Through his IEEE and Elsevier publications, he has addressed critical problems in diabetic retinopathy diagnosis, DNA sequence classification, and higher education recommendation systems 🎓. His blend of theoretical innovation and practical solutions ensures his research contributes to both scientific progress and societal impact 🌍.
🏅 Awards and Honors
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🎖️ Dean’s List Award at KUET for outstanding academic performance (2019–2020)
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🥇 Intra-KUET Programming Contest 2021 – 3rd Place 🧠💡
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🥈 Intra-KUET Programming Contest 2019 – 6th Place 🧠
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🥉 Divine IT Qualification Round – Rank 10 (Nov 2023) 💻
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🏆 TechnoNext Technical Coding Test 2023 (Fresher) – Rank 7 🔢
📊 Publication Top Notes
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Recommender system in academic choices of higher education – IEEE Access (2024) 📚5 🎓🤖
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Advancements in breast cancer diagnosis… with PCA, VIF – 6th Int. Conf. on Electrical Engineering and Info (2024) 📚2 🧬🩺📊
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Optimizing SMS Spam Detection… Voting Ensembles & Bi-LSTM – 5th Int. Conf. on Data Intelligence and Cognitive (2024) 📚1 📱📩🧠
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Cracking the Genetic Codes: DNA Sequence Classification… – Int. Conf. on Advances in Computing, Communication (2024) 📚1 🧬🧪🧠
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Secure Land Purchasing using… Multi-Party Skyline Queries – 26th Int. Conf. on Computer and Info Tech (2023) 📚1 🌍🏠🔐
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Fake News Detection… Soft and Hard Voting Ensemble – Procedia Computer Science (2025) 📚– 📰❌🗳️