About
I came to AI through cognitive science. Studying how people actually reason turned out to be the most useful preparation possible for building systems that have to reason about a business.
Today I am the first data and AI hire at an architectural glazing manufacturer, where I build the agentic systems the sales organisation runs on: an engine that compiles ideal-customer profiles from live CRM data, a crawler that turns those profiles into scored and source-attributed leads, and a fleet of domain-specialised agents over Microsoft 365.
Before that I built and shipped on my own account, and before that I did research-grade modelling work at university. The thread running through all of it is the same: make the system do the work, then prove it did.
Experience
- 2026
AI in Business DevelopmentGerman architectural glazing manufacturer
Agentic lead generation, CRM-integrated ICP systems, ad intelligence.
- ongoing
Co-founderPredOpt
AI process optimization for logistics SMBs.
- 2022-2025
Project LeadMorefficiency LLC
Full-stack delivery for SMB clients, e-commerce, lead generation.
Before and during my studies I worked in industrial safety, manufacturing, and field research. That work funded the degree and taught me how real operations run.
Education
Cognitive Science B.Sc. (1.8)
University of Osnabrück - Thesis 1.0
Electrical & Information Engineering
TU Kaiserslautern - 4 semesters, discontinued by choice
Mathematics Baccalaureate
Tunis
Certification Supervised Machine Learning · DeepLearning.AI / Stanford Online
What I work with
- Languages
- Python, R
- AI & ML
- PyTorch, JAX, Flax, Claude API, LangGraph, Langfuse, Embeddings
- Data & backend
- Django, FastAPI, Flask, PostgreSQL, Neo4j, SQLAlchemy, Microsoft Dataverse
- Automation
- n8n, Power Automate, Microsoft Copilot Studio, crawl4ai, Apify
- Interface & deploy
- Astro, React, Streamlit, Cloudflare Pages, Railway
- Languages
- German (C1), English, French, Arabic