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Femi AdeolaFA
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Femi Adeola

@femiadeola

Applied AI researcher focusing on trustworthy, interpretable RAG systems for education.

Brazil
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What I'm looking for

I seek roles advancing trustworthy, interpretable AI for high-impact domains, collaborating with cross-functional teams to deploy reliable RAG/NLP systems and influence policy with transparent, evidence-based insights.

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

FG
Current

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.

CL

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.

Education

Degrees, certifications, and relevant coursework

Federal University of Rio Grande (FURG) logoFF

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 logoNN

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.

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Femi Adeola - Graduate Researcher - Federal University of Rio Grande | Himalayas