Data & AI Engineer
I help companies design and implement scalable data systems, AI workflows, APIs, and automation that solve real operational and product problems.
I work at the intersection of data engineering, machine learning, software integration, and practical AI delivery.
My focus is not experimentation for its own sake. I work on systems that need to be reliable, scalable, and useful in real business environments — from data platforms and internal tooling to AI-powered workflows and production-ready applications.
I typically work on problems such as:
- fragmented or unreliable data flows
- manual operational processes that should be automated
- API and system integrations across business-critical workflows
- AI initiatives that need structure, feasibility, and implementation
- internal tools and products that depend on data and intelligent automation
- Data pipelines and orchestration
- Data modeling and transformation
- Analytics foundations and reporting infrastructure
- Data quality and reliability improvements
- Scalable cloud-based data workflows
- AI workflow design and implementation
- LLM-enabled applications and agentic systems
- NLP and applied machine learning
- Retrieval, automation, and decision-support systems
- Production-minded AI architecture
- API design and integration
- Workflow automation
- Internal tools for operations and decision-making
- System architecture for connected products and services
I like work that combines technical depth with practical execution.
That usually means:
- clarifying the actual business and operational problem
- identifying the technical bottlenecks
- defining a clean architecture and delivery path
- implementing with scalability, maintainability, and usability in mind
I value clear thinking, clean systems, and solutions that are designed to last.
- data platforms
- AI systems and LLM applications
- intelligent automation
- developer tooling
- APIs and software architecture
- analytics and operational decision systems
This GitHub profile includes public repositories across data, AI, applications, and many experiments.
A few examples include:
- AI-powered applications and assistants
- data and NLP projects
- web products and internal-tool style builds
- portfolio and technical writing infrastructure
For a broader view of my work, case studies, and writing, visit:
I also write about data, AI, and technical systems on my website:
- machine learning fundamentals
- practical AI topics
- engineering and implementation thinking
- technical reflections from real-world building
Read more at:
If you are working on a data, AI, automation, or systems problem and want to discuss a project, partnership, or consulting engagement:
- Website: naomilago.com
- LinkedIn: linkedin.com/in/naomilago
- GitHub: github.com/naomilago
💜 Built with curiosity, systems thinking, and a bias for execution.