Femi Adeola
@femiadeola
Applied AI researcher focusing on trustworthy, interpretable RAG systems for education.
What I'm looking for
I am an applied AI researcher specializing in trustworthy and interpretable RAG systems for educational program evaluation. My work focuses on reconciling interpretability and accuracy in LLMs, reducing hallucination, and mitigating algorithmic bias.
Currently pursuing an M.Sc. in Computer Engineering at the Federal University of Rio Grande (FURG), I design domain-specific retrieval pipelines using LangChain and LlamaIndex and build FAISS-based vector knowledge bases from CAPES datasets. My research transforms raw institutional data into transparent, human-verifiable insights to inform policy decisions.
I have practical experience engineering semantic search prototypes, developing fairness-aware evaluation metrics, and applying embedding alignment in high-stakes domains like finance and education. I combine methodological rigor with applied deployments to ensure reliable, evidence-based outputs.
I bring a background in software and data systems from professional roles, certifications in Generative AI Engineering and Responsible Generative AI, and active engagement with academic communities to drive responsible AI adoption in educational contexts.
Experience
Work history, roles, and key accomplishments
Graduate Researcher
Federal University of Rio Grande
Oct 2024 - Present (1 year 4 months)
Designing and evaluating RAG architectures for educational program assessment, building FAISS-based vector knowledge bases and conducting fairness audits to reduce hallucination and algorithmic bias.
Web & Data Systems Specialist
Carelifeline Limited
Mar 2020 - Oct 2024 (4 years 7 months)
Developed and maintained the company website and IT infrastructure, organized operational data to support reporting and recruitment decisions, and delivered secure, reliable digital services.
Classroom Teacher
New Discovery High School
Sep 2010 - Dec 2013 (3 years 3 months)
Designed and delivered lesson plans integrating technology to improve student engagement and adapted instruction to support diverse learning needs and analytical skill development.
Education
Degrees, certifications, and relevant coursework
Federal University of Rio Grande (FURG)
Master of Science, Computer Engineering
2024 -
Activities and societies: Thesis research on reconciling interpretability and accuracy in RAG systems; building FAISS-based vector knowledge bases; fairness-aware evaluation.
M.Sc. in Computer Engineering focused on foundations and applications of artificial and computational intelligence, investigating interpretability and accuracy in RAG systems for educational program evaluation.
National Open University of Nigeria
Bachelor of Science, Computer Science
2013 - 2019
Activities and societies: Designed and implemented a School Management Information System; deployed centralized administrative platform for a case-study institution.
Bachelor of Science in Computer Science with a project delivering a secondary school management information system to improve administrative efficiency.
Availability
Location
Authorized to work in
Job categories
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