_

maxime.py

from education import ComputerScience

class Maxime(AIEngineer, DataEngineer):

"""

Engineer turning LLMs into reliable

products: agents, retrieval and evals,

on top of solid data pipelines.

"""

def __init__(self):

self.role = "AI Engineer"

self.base = "Copenhagen, Denmark"

self.exp = 5 # years of experience

def mission(self) -> str:

return "From raw data to AI systems you can trust."

AI ENGINEER //
LLM SYSTEMS, AGENTS & RAG //
BUILT ON SOLID DATA FOUNDATIONS

AI Engineering
LLMs RAG Agents Embeddings Evals Vector DBs Tracing
Programming Languages
Python SQL Bash YAML
Cloud & Infra
Azure Databricks GCP AWS Docker GitHub Actions
Data Engineering
PySpark Airflow Snowflake Delta Lake CI/CD Data Governance
ML Stack
TensorFlow PyTorch HuggingFace SpaCy MLflow XGBoost
Monitoring
Grafana Tableau PowerBI
~/enter_lab  →

~/seo-content-generator

view_source →
Python NLP

Automated content generation tool optimized for SEO performance.

RAG Vector DB

Retrieval-augmented chatbot on Weaviate that answers questions over any document corpus, with citations.

~/scoring-bank-project

view_source →
Data Science Scoring

Credit scoring model and analysis for banking customer data.

~/explore_all  →

// Building something interesting with AI? Execute the command below.

> mailto:maximehaegeman@gmail.com