Andrea Head

Machine Learning Engineer & MLOps Specialist

Building robust, automated AI systems that drive business value.

10+

Years Experience

In Machine Learning, Data Science, and Software Engineering.

20+

Projects

Delivered across FinTech, Retail, and Research sectors.

98%

Automation

Dedicated to automating ML lifecycles and deployment pipelines.
Human-in-the-loop remains an important part of the puzzle.

Expertise

Production ML, MLOps platforms, and agentic AI systems built for governance, security, and measurable impact.

9+ yrs
ML engineering
Agentic AI
Production systems
MLOps
Governance

What I build

Secure ML platforms, cloud-native delivery, and agentic AI applications that hold up under real users.

Stack: Python · Docker · Kubernetes · Terraform · CI/CD · GCP/AWS · observability · vector search · evaluation

About & Approach Case Studies

How I work

I build systems that are secure by default, observable in production, and designed for fast iteration with strong interfaces, automated pipelines, and a calm obsession with operational reliability.

Machine Learning Engineering

Designing scalable ML systems end-to-end: data flows, training, evaluation, deployment, and lifecycle management.

  • Model delivery patterns for regulated environments
  • Monitoring, drift detection, and operational guardrails
  • Reusable architectures for fast iteration

MLOps & Automation

Turning ML into a dependable product capability with CI/CD, repeatable environments, and governance-by-default.

  • CI/CD, testing, and release automation
  • Experiment tracking and reproducibility
  • Operational runbooks and incident reduction

Cloud Infrastructure

Practical cloud architecture across GCP/AWS/Azure focusing on security, cost control, and developer experience.

  • Kubernetes, serverless deployment patterns
  • Terraform platform standards
  • Secure ingress, data boundary design

Agentic AI Systems

LLM-powered applications that plan, use tools, and execute workflows with evaluation and safety built in.

  • Tool use, orchestration, and guardrails
  • Knowledge grounding via search / vector retrieval when needed
  • Quality evaluation loops and observability

Recent Projects

A selection of my work in MLOps, AI, and Software Engineering.

Sealify
Sealify

I developed Sealify to demonstrate how large language models can assist with legal document drafting, focusing specifically on Non-Disclosure Agreements …

BiteByte
BiteByte

I created BiteByte to democratize access to personalized nutrition planning that typically requires expensive consultations with dietitians or nutritionists. The …

ChatVitae
ChatVitae

I developed ChatVitae as a personalized digital representative of my professional identity—an interactive AI that allows visitors to converse directly …

View All Projects