AI Workflow Engineer | Agentic Systems & LLMOps

I design and build agentic workflows and AI-driven architectures that transform complex processes into autonomous, decision-making systems.

My work combines structured thinking, data engineering, and LLMOps to orchestrate intelligent agents, integrate tools and data, and create scalable workflows that execute tasks end-to-end with reliability and observability.

I focus on helping companies move from manual operations and fragmented systems to intelligent, automated workflows powered by LLMs and real-time data.

I design and implement systems that:

• Orchestrate multi-agent workflows for complex task execution
• Integrate LLMs with tools, APIs, and data sources (RAG-based systems)
• Automate decision-making processes using structured reasoning
• Build end-to-end AI workflows (from ingestion to action)
• Implement LLMOps pipelines (evaluation, monitoring, prompt/version control)
• Ensure observability, reliability, and cost efficiency in AI systems

• AI Workflow & Agent orchestration
• LLMOps implementation and optimization
• RAG systems with structured data integration
• Data pipeline automation (Airflow / Python)
• Data platform architecture (BigQuery / PostgreSQL)
• AI-powered automation for business processes

• Agentic AI & Workflow Orchestration
• AI Systems Architecture
• LLMOps (evaluation, monitoring, optimization)
• RAG Systems & Tool-augmented LLMs
• Data Engineering for AI systems
• Observability, reliability, and production AI

Production-grade data platform with:

• Medallion architecture (Bronze → Silver → Gold)
• Airflow orchestration and dbt transformations
• 300+ data quality tests
• Power BI dashboards
• OpenClaw: AI-powered agent that detects failures, reasons about root causes, and suggests corrective actions using RAG + LLMs

View repository →

AI assistant built with event-driven architecture that:

• Uses structured knowledge and data pipelines
• Performs context-aware reasoning
• Executes responses based on real data and workflows

View repository →

AI & Agents LLMs • RAG • LLMOps • LangChain • Agent orchestration

Data Python • SQL • dbt • Airflow

Cloud GCP • BigQuery • Cloud Run • Pub/Sub

Engineering Docker • APIs • Event-driven architecture • Distributed systems

I build systems with a strong focus on:

• Autonomy → workflows that execute without constant human input
• Reliability → robust systems with monitoring and safeguards
• Observability → visibility into AI decisions and pipeline behavior
• Scalability → cloud-native, production-ready architectures
• Structured reasoning → applying system thinking to AI workflows

• LinkedIn: www.linkedin.com/in/hyego-maia-640ba0343
• Email: hyegomaia5@gmail.com