Adekunle A. Ajibode bio photo

Adekunle A. Ajibode

My expertise lies in utilizing Data Mining techniques to address research inquiries in various domains such as Software Engineering, Education, and Health Care. The majority of my Data Mining research replication packages are accessible on both my Bitbucket and GitHub profiles, while other Research replication packages specific to Software Engineering can be found solely on my GitHub profile. Additionally, all my published papers are freely available on several academic platforms, including Google Scholar and ResearchGate, as well as other libraries. Outside academics and research, I am seeking a position as an IT support specialist, Technical support specialist, IT technician, or a similar role where I can apply my technical skills, problem-solving abilities, and strong customer service orientation to effectively assist users with their IT needs.

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Resume

Objective

PhD candidate in empirical software engineering and AI, with hands-on experience in large language models, Transformers, and model fine-tuning. Experienced in Hugging Face model releases, upstream/downstream lineage analysis, and metadata reconstruction. Interested in research, scientific, and engineering roles in AI, ML, software release engineering, and data science.

Education

  • Doctor of Philosophy (PhD) in Computing, Queen’s University 2023 – Present
    • Thesis: Release Practices in the AI Supply Chain: An Empirical Study of Pre-Trained Language Models on Hugging Face
    • Supervisor: Professor Bram Adams & Professor Ahmed E. Hassan
  • Master of Engineering (M.Eng.) in Computer Science and Technology, Zhejiang Sci-Tech University, China 2019 – 2022
    • Thesis: Spectrum-based Fault Localization Method Using Formulas Combination
    • Supervisor: Professor Shu Ting
  • Bachelor of Science Education (B.Sc.Ed) in Computer Science, Tai Solarin University of Education, Nigeria 2010 – 2014
    • Project: A real-time packet filtering module for network intrusion detection system
    • Supervisor: Dr. T.K Ogunyinka
  • Nigeria Certificate in Education (NCE) in Computer Science and Mathematics, Federal College of Education Abeokuta, Nigeria 2006 – 2009
    • Project: Impact of ICT on the academic performance of computer science students
    • Supervisor: Mrs. Ayinde

Skills

  • Large Language Models & NLP: Hugging Face Transformers, model fine-tuning and evaluation, Retrieval Augmented Generation (RAG) pipelines
  • Research & Analysis: Model versioning, lineage reconstruction, metadata recovery, Model Reproducibility, AI Bill of Materials (AIBOM)
  • ML Frameworks & Programming: Python, API integration, Automated data pipelines, TensorFlow, PyTorch
  • Software & Release Engineering: Model release practices, upstream/downstream synchronization, AI model provenance tracking

Research & Work Experience

  • Research Assistant, Queen’s University, Canada Sept. 2023 – Present
    • Investigating automated reconstruction of LLM lineage and metadata recovery from internal model artifacts.
    • Conducting empirical studies on versioning, synchronization, and reproducibility of pre-trained language models on Hugging Face.
  • Research Assistant, Zhejiang Sci-Tech University, China Sept. 2019 – Aug. 2022
    • Conducted research on fault localization in software using metrics combination and hybrid datasets.
  • Teaching Assistant, Queen’s University, Canada Sept. 2024 – Present
    • Assisted with undergraduate computing courses, lab sessions, and grading.

Internship Experience

  • AI Adoption & Partnerships Intern, Vector Institute, Canada Sept. – Dec. 2026
    • Supported the design and implementation of tools and processes to facilitate AI capability creation and partnership building.

Honours & Awards

  • Chinese Government Scholarship, Northwestern Polytechnical University, China ($13,800/year) 2022
  • Chinese Government Scholarship, Zhejiang Sci-Tech University, China ($11,000/year) 2019