Adebanji Adelowo
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Adebanji Adelowo

Applied Mathematician & Machine Learning Engineer

I am an applied mathematician and machine learning engineer with a background in numerical PDEs, scientific computing and mathematical modelling. My work combines computational methods, machine learning and software engineering to investigate scientific problems and develop practical data-driven systems.

Open to machine learning, data science, software engineering, research and PhD opportunities.

Selected research

Generative AI & LLM Applications

Retrieval-augmented generation systems developed with explicit evaluation of retrieval quality, evidence grounding and failure modes. These are research implementations, not claims of production deployment.

Multimodal RAG · Document understanding

Multimodal Visual RAG ↗

Question answering over document pages containing text, tables, charts and images.

Compares OCR-based keyword and dense retrieval with image embeddings, hybrid fusion and reranking; evaluates answer grounding, page citations and abstention. On the documented textbook corpus, text hybrid retrieval was a strong baseline and visual retrieval did not show a meaningful improvement. GPU experiments remain separately pending.

Research evaluation · corpus-specific results

Methods, results and limitations ↗

Legal RAG · Citation verification

Legal Research RAG ↗

Source-grounded case-law retrieval and research summaries with citation checks.

Evaluates BM25, dense and hybrid retrieval, reranking, jurisdiction and date constraints, citation support and abstention. On 2,000 test queries, BM25 reached nDCG@10 of 0.176; normalized-score hybrid reached 0.186. Citation existence checks worked reliably, but substantive support and abstention remain limitations.

Research implementation · not legal advice; no citator

Methods, results and limitations ↗

Additional projects

Further research and engineering work; consult each repository for current evaluation status.

Professional experience

My industry experience spans aviation analytics, predictive modelling, data analysis and engineering software.

Professional experience →

Background

M.Sc. in Mathematical Engineering, University of L’Aquila; B.Sc. in Mathematics, Obafemi Awolowo University.

Education →

Research and collaboration

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