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Inioluwa Afolabi

@inioluwaafolabi

AI Engineer specializing in production RAG systems, LLM fine-tuning, and MLOps.

Nigeria
Message

What I'm looking for

I am seeking roles where I can build and deploy production-grade LLM/RAG systems, lead MLOps practices, and advance agentic multi-model orchestration in collaborative, product-focused teams.

I am an AI Engineer with hands-on experience deploying production RAG systems that processed over 10,000 documents with 95%+ accuracy, and building NLP pipelines, vector databases, and MLOps workflows that ship to production.

I reduced model sizes by 40% using LoRA fine-tuning and improved query latency by 57% through vector database optimization, while implementing model versioning, experiment tracking, and automated monitoring to reduce deployment errors and improve iteration speed.

I build conversational agents, multimodal interfaces, and agentic AI integrations, and I am currently expanding expertise in multi-model orchestration and agentic systems to deliver reliable, cost-efficient AI products.

Experience

Work history, roles, and key accomplishments

RA
Current

AI Engineer

Revyse AI

Aug 2025 - Present (6 months)

Engineered and deployed production RAG system processing 10,000+ documents with 95%+ accuracy and reduced query latency from 4.2s to 1.8s; implemented MLOps practices that cut deployment errors 60% and achieved 99.5% uptime through multi-provider routing.

Education

Degrees, certifications, and relevant coursework

AD

Applied AI Engineering with Ed Donner

Certificate, Applied AI Engineering

Completed an applied AI engineering program focused on LLM fine-tuning, RAG systems, and production deployment.

CS

Coursera (Deep Learning Specialization)

Specialization Certificate, Deep Learning

Completed the Deep Learning Specialization covering neural networks, CNNs, RNNs, and transformers.

University of Lagos logoUL

University of Lagos

Bachelor of Science, Mathematics and Education

Completed a Bachelor of Science in Mathematics and Education with coursework supporting quantitative analysis and pedagogy.

CS

Coursera (Machine Learning Specialization)

Specialization Certificate, Machine Learning

Completed the Machine Learning Specialization focused on supervised and unsupervised learning and optimization techniques.

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Inioluwa Afolabi - AI Engineer - Revyse AI | Himalayas