Guillaume.

Curriculum vitae

Guillaume Depraetere

  • AI Engineer at IBM
  • IBM Quantum Ambassador
  • Belgium

I'm an AI engineer at IBM, where I build end-to-end AI agents and workflow MVPs: LLM-based products that combine retrieval, tools, APIs and automation for real business workflows. I'm also an IBM Quantum Ambassador: I give talks and guest lectures on quantum computing and quantum machine learning.

linkedin.com/in/guillaumedepraetere

Get in touchLinkedIn

Experience

  1. IBM

    1. AI Engineer

      Jun 2025 – now

      • Building end-to-end AI agent and workflow MVPs: LLM-based products that combine retrieval, tools, APIs and automation for real business workflows.

    2. IBM Quantum Ambassador

      2025 – now

      • Giving talks and guest lectures on quantum computing and quantum machine learning.

    3. Data Science & AI Consultant

      Apr 2024 – Jun 2025

      • Launched a data science initiative for an energy utility's digital metering operations: use cases, data workflows and the analytical foundations for operational decisions.
      • Built a RAG chatbot for a global biopharma company that lets people query dashboard data and find insights on their own.
      • Developed an LLM-based commodity code classification system for an imaging technology company, for faster and more consistent product classification.
      • Contributed to IBM's internal MLOps and LLMOps community by sharing practices around model development, deployment and operations.

  2. GD AI Solutions

    1. Data Scientist (freelance)

      Oct 2023 – now

      • Built an ensemble document classifier (DistilBERT and RoBERTa) for multi-label tender classification, with calibrated probabilities and a trust score that shows how reliable each prediction is.
      • Developed an AI tool for a law firm to retrieve relevant case law.

  3. Degroof Petercam · Brussels

    1. Fund Management Intern

      Sep 2023 – Jan 2024

      • Built internal tools that automate recurring workflows and improve team efficiency.
      • Supported investment research by turning portfolio questions into data analyses and reports.

  4. Everest Analytics · Ghent

    1. Finance & Project Lead

      Aug 2022 – Jul 2023

      • Led a team of 5 data consultants on a biodiversity project predicting pesticide presence, delivered on deadline.
      • Managed the organization's finances (budget and bookkeeping), partner contacts and events.

    2. Data Scientist / Consultant

      Feb 2022 – Jun 2022

      • Built a computer vision model (convolutional neural networks) for a non-profit that preserves coral reefs.

  5. Bizzy · Ghent

    1. Data Science Intern

      Jul 2022

      • Built an XGBoost revenue prediction model for small companies that don't have to publish full annual accounts.
      • Developed a named entity recognition pipeline that extracts funding information from financial news.

Skills

AI & ML
  • LLMs
  • AI agents
  • RAG
  • LangChain
  • PyTorch
  • TensorFlow
  • scikit-learn
  • XGBoost
  • MLOps
Programming
  • Python
  • SQL
  • R
  • TypeScript
  • Java
  • Flutter
Data
  • pandas
  • NumPy
  • PySpark
  • Databricks
  • Power BI
Cloud
  • IBM Cloud
  • Azure (certified)
  • AWS
Quantum
  • Quantum computing
  • Quantum machine learning
Languages
  • Dutch native
  • English fluent
  • French proficient
  • German basics

Education

  1. Master of Business Engineering, Data Analytics

    2021 – 2023

    Ghent University · Ghent

    • Magna cum laude (817/1000), first of my class
    • Prize for best master's student in Business Engineering, Data Analytics

  2. Bachelor of Business Engineering

    2018 – 2021

    Ghent University · Ghent

    • Cum laude (715/1000)

How I work

  1. I finished first of my class while leading a team of five on a real project.
  2. I build things end to end, from the first idea to something people can use.
  3. I'd rather show a working prototype than a slide deck.
  4. I plan my week before it starts and protect time for deep work.
  5. I finish what I start.
  6. When I don't know something, I say so and go find out.
  7. I ask for the hard feedback early.
  8. I learn by teaching: I give talks and guest lectures on quantum computing.
  9. I read every week, right now about quantum computing and the future of AI.
  10. I train most days. Sport is where I learned to keep showing up.

Now

  • Building AI agents at IBM
  • Giving talks on quantum computing
  • Reading about quantum computing and the future of AI

Currently reading

  • Dancing with QubitsRobert S. Sutor
  • SuperintelligenceNick Bostrom

On the island

The places on the island, without the 3D. Explore them in 3D →

Education & path

The Academy

Where it started. I studied business engineering in data analytics at Ghent University and finished first of my class, while working on my first data projects at Everest Analytics.

AI & experiments

The Lab

My workshop for AI systems. As an AI engineer at IBM I build end-to-end AI agent and workflow MVPs: LLM products that combine retrieval, tools, APIs and automation. Before that, as a data science and AI consultant, I built RAG chatbots and LLM classifiers for clients.

Quantum computing

The Observatory

Up on the hill I look at what's next. Since 2025 I've been an IBM Quantum Ambassador: I give talks and guest lectures on quantum computing and quantum machine learning.

Tennis, cycling & gym

The Arena

Where I train: tennis and padel, cycling and running, football and the gym. I train most days; sport is where I learned to keep showing up.

Let's talk.

The quickest way to reach me is a message on LinkedIn.

Message me on LinkedIn Other reasons to write