Oliver Wakeford

About

The short version, told straight.

I'm Oliver, an AI consultant and developer based in Paris. I build systems that help businesses use AI practically and responsibly. Not as a buzzword. As a tool that produces measurable results.

I studied Computer Science at Charles University in Prague and graduated with First-Class Honours. My thesis explored procedural terrain generation using machine learning. After that I moved to Paris for an MSc in AI & Data Science at Université Paris-Saclay.

While studying, I started consulting. At Chiron Hotel Consultancy, I built an AI content engine that now serves 17 clients across luxury hospitality, lifestyle brands, and purpose-driven organisations. The principle is simple: the best AI is invisible. If you can tell it's AI, it isn't good enough.

I also work with Ace-nsi Cybersecurity on AI governance, helping organisations understand and manage the risks of uncontrolled AI adoption. Shadow AI, regulatory compliance, data security. The stuff that keeps CISOs awake at night.

When I'm not working, you'll find me at the gym, running along the Seine, or trying to get my French past B1. It's a slower process than I'd like.

Oliver Wakeford

Experience & education

01

Pre-Sales AI Security Consultant

Ace-nsi Cybersecurity · Remote

Designed a Shadow AI exposure assessment methodology. Consulting on AI governance and on GDPR, EU AI Act, and NIS2 compliance for organisations in regulated industries.

2026 – Present

02

MSc AI & Data Science

Université Paris-Saclay · Paris, France

Machine learning, deep learning, information theory, and data engineering, taught in English and French at one of Europe's leading research universities.

2025 – Present

03

AI Consultant

Chiron · Remote

Built an AI content engine from scratch for a boutique hospitality marketing agency. Designed per-client brand contexts, quality-assurance workflows, and a Next.js and Supabase application to run the operation.

2025 – Present

04

BSc Computer Science (First-Class Honours)

Charles University, Prague · Prague, Czechia

Strong foundation in algorithms, software engineering, and mathematical logic. Thesis on constrained procedural terrain generation, later extended into a paper accepted at IEEE Conference on Games 2026. Won two public-speaking competitions.

2021 – 2025

Skills & tools

AI & Machine Learning

  • Deep Learning
  • NLP / LLMs
  • Generative Models
  • Fine-Tuning (LoRA)
  • Model Evaluation
  • AI Governance

Development

  • Python
  • TypeScript
  • React / Next.js
  • Flask / FastAPI
  • SQLite / PostgreSQL
  • REST APIs

Tools & Platforms

  • PyTorch
  • Claude / OpenAI APIs
  • Vercel
  • Git / GitHub
  • Tailwind CSS
  • Jupyter

Consulting & Business

  • AI Strategy
  • Pre-Sales
  • Content Systems
  • Client Management
  • Technical Writing
  • Public Speaking

Languages

  • English (Native)
  • French (B1, working on it)