Specializing in MLOps, Retrieval-Augmented Generation (RAG), Multilingual NLP & Quantitative Macroeconomics
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EXECUTIVE ENGINEERING SUMMARY
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Architecture Pillar : End-to-End AI Microservices (From Vector Store to Cloud Container)
Core Specialties : Generative AI (RAG) | LLM-as-a-Judge | African NLP | Quant Finance
MLOps Discipline : Docker Containerization | FastAPI | GitHub Actions CI/CD | Streamlit
Target Mandate : Delivering zero-hallucination enterprise AI and production ETL pipelines
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I build, containerize, and deploy production-grade Generative AI systems, multilingual NLP microservices, LLM evaluation frameworks, and automated macroeconomic data engineering pipelines.
Combining deep quantitative rigor with enterprise MLOps discipline, I specialize in architecting air-gapped Vector Databases, fine-tuning classification pipelines for complex low-resource syntax (African language code-switching), deploying autonomous 'LLM-as-a-Judge' validation matrices, and translating raw, messy multi-source data into actionable strategic telemetry for global corporate boards and central bank compliance officers.
| Pillar | Engineering Technologies & Frameworks |
|---|---|
| Generative AI & NLP | RAG Architecture, Local Vector Databases, LLM-as-a-Judge Pipelines, Advanced N-Gram TF-IDF Sublinear Scaling, Scikit-Learn |
| MLOps & Microservices | Docker, FastAPI, Pydantic Schema Validation, Interactive Swagger UI, Joblib Serialization |
| Cloud & Data Engineering | Hugging Face Spaces Cloud Load Balancers, GitHub Actions Cron Automation (CI/CD), Multi-Source ETL |
| Enterprise UI & Visualization | Palantir Foundry UI, Streamlit Chat Architecture, Dual-Axis Plotting, Multiplicative Time-Series Decomposition |
| Domain Intelligence | Numerical Contradiction Testing, Nigerian Commercial Banking Law (BOFIA 2020), CITA Tax Structures, Central Bank FX Reserve Regimes |
- Live Cloud App: Launch EvalScout AI on Hugging Face Spaces
- GitHub Repository: akinsola-data/eval-scout-ai
- System Architecture: MLOps · LLM-as-a-Judge · Hallucination Detection · Palantir UI · Docker
- Value Delivered: An enterprise MLOps evaluation framework that utilizes an 'LLM-as-a-Judge' pipeline to autonomously audit conversational AI models for hallucination and data groundedness. Enforces local TF-IDF cosine similarity matrices paired with exact numerical entity contradiction checking (
re.findall), achieving a 100% Hallucination Catch Rate across 200 high-stakes financial and legal benchmarks.
- Live Cloud App: Launch AfriJuris RAG on Hugging Face Spaces
- GitHub Repository: akinsola-data/afri-juris-rag
- System Architecture: Generative AI · RAG Engine · Dense Vector Database · Streamlit Chat UI · Docker MLOps
- Value Delivered: An autonomous legal compliance platform that indexes authoritative extracts across 8 regulatory pillars (BOFIA 2020, CBN FX guidelines, CITA 2023, NDPA 2023). Implements rigid cosine similarity thresholds (
> 0.05) to provide verifiable statutory citations with zero hallucination.
- Live Cloud App: Launch NaijaFinProtect on Hugging Face Spaces
- GitHub Repository: akinsola-data/naija-fin-protect
- System Architecture: MLOps · Docker · FastAPI Backend · Streamlit Corporate Dashboard · African Language NLP
- Value Delivered: An enterprise microservice designed for the Pan-African fintech ecosystem. Extracts high-variance TF-IDF bigrams (
ngram_range=(1, 2)) to classify phishing and loan shark extortion across code-switched Pidgin, Yoruba, Igbo, Hausa, and English, achieving 100% out-of-sample accuracy.
- GitHub Repository: akinsola-data/naira-currency-analysis
- System Architecture: Automated CI/CD (GitHub Actions) · Multi-Source ETL · Time-Series Decomposition · Ridge Regression
- Value Delivered: A deep macroeconomic investigation merging Central Bank of Nigeria (CBN) policy dates, OPEC oil prices, and World Bank inflation proxies. Successfully proves "The Great Decoupling" (post-2021 currency detachment from oil prices) and features an automated monthly ETL cron job (
0 6 1 * *) that dynamically updates the repository's hero charts.
- GitHub Repository: akinsola-data/breast-cancer-prediction
- System Architecture: Medical Tabular Analytics · Scikit-Learn Classification · Model Telemetry
- Value Delivered: An optimized statistical classification engine trained on highly sensitive oncology data. Demonstrates strict feature importance tracking to ensure AI explainability in clinical environments, achieving a robust 96.49% testing accuracy.
I do not just build machine learning models in isolated Jupyter Notebooks. I deliver the complete engineering lifecycle required for modern enterprise AI:
- Air-Gapped Compliance & AI Safety: I ensure production models operate with strict hallucination guardrails, LLM-as-a-judge validation, and Pydantic schema enforcement to protect corporate liability.
- Autonomous Automation: I build self-maintaining cloud ETL pipelines that eliminate manual data engineering overhead.
- Executive Communication: I translate dense statistical metrics (RMSE, Cosine Distance, Attention Weights) into highly legible corporate strategies for financial risk management and regulatory compliance.
Open to global remote AI engineering roles, quantitative consulting contracts, and senior data science mandates.