About Me

Md Mainul Islam (also known as Mainul Fuad) is an Adjunct Faculty member in the Department of Computer Science and Engineering at United International University (UIU), and a software industry professional with several years of experience in project management, software quality assurance, and software engineering.

Education

Mainul completed his BSc in Computer Science and Engineering at United International University in 2020, graduating Summa Cum Laude with a CGPA of 3.92 out of 4.00. He was awarded the Best Thesis Award and received seven 100% merit-based tuition scholarships throughout his undergraduate studies. During this time, he also worked as a teaching assistant and laboratory evaluator, supporting undergraduate courses in programming and system design.

Research

His research interests span software engineering, large language models, automated API testing, machine learning, computer vision, and healthcare-focused intelligent systems. His current research investigates the adequacy and reliability of LLM-generated REST API tests, and he maintains an active interest in privacy-preserving AI, federated learning, and applied machine learning systems.

Teaching

As an Adjunct Faculty member at UIU, Mainul teaches System Analysis and Design, mentoring undergraduate students through practical, project-based coursework covering requirements analysis, prototyping, and software project documentation.

Industry Experience

Alongside his academic work, Mainul has several years of industry experience managing software products and quality-assurance activities for international clients, currently serving as a Project Manager at WebAlive Australia. He previously worked at Bit Mascot (Pvt.) Ltd, where he managed cross-functional software development projects and led API, database, and quality-assurance testing efforts.

Goals

Mainul's long-term goal is to pursue a PhD and contribute to impactful research and university teaching, bridging his industry experience in software quality and project management with academic research in software engineering and applied AI.