Independent AI & Analytics Engineer focused on building practical, production-ready systems that turn data into decisions.

I design end-to-end solutions that combine:

• AI agents & LLM-powered workflows
• Retrieval-Augmented Generation (RAG) systems
• Data pipelines and structured analytics
• Containerized, reproducible applications
• Business-aligned metrics and decision frameworks

My work bridges the gap between experimentation and usable tools — turning concepts into systems people can actually interact with.

• 🤖 AI agents that research, generate, and automate workflows
• 📝 LLM-powered applications (article writers, knowledge tools, copilots)
• 🔍 RAG systems using embeddings and vector databases
• 📦 Containerized apps deployable on platforms like Render & Hugging Face
• 📊 Analytics systems that translate data into operational decisions

• AI application development & orchestration
• LLM + tool integration (agents, workflows, automation)
• RAG system design and evaluation
• Reproducible, containerized deployments
• Translating data systems into business impact

Building agent-driven systems that combine reasoning, retrieval, and structured data — moving from static models toward interactive, decision-support tools.

End-to-end AI application that:

• Researches topics autonomously
• Writes structured articles
• Generates supporting images
• Produces complete, user-ready outputs

🔗 https://github.com/gibsongGH/ai-article-writer

Retrieval-Augmented Generation system for context-aware responses:

• Embedding-based document retrieval
• Clean, explainable answers grounded in source material
• Modular architecture for different knowledge domains

Examples:

• 🔗 Digital Twin → https://github.com/gibsongGH/digital-twin
• 🔗 Netflix RAG → https://github.com/gibsongGH/netflix_rag

Machine learning-based risk prediction system:

• Feature engineering pipelines
• Model comparison (logistic regression vs boosted trees)
• Threshold-based evaluation for imbalanced classification
• MLflow experiment tracking
• Containerized deployment

🔗 https://github.com/gibsongGH/cardiosentinel

Industrial Engineering + years of experience automating reporting and analytics across:

• Manufacturing
• Logistics
• Operations

I bring a systems mindset to AI — focusing on reliability, clarity, and real-world usability.

Open to:

• AI engineering projects
• Contract work
• Applied LLM / agent systems