
Athens · Software & Applied AI
Applied ML in production.
I build systems that work in production — and propose the tools teams don't know they need yet. Deep-learning classification, computer vision, agentic RAG, ERP systems.
── At a glance
5+
Years building
production systems
94.2%
Crop accuracy
Sentinel-2 ConvLSTM
10k+
Farmer clients
supported via ERP
4
In production
ERP · CV · RAG · LLM pretraining
Act I · The Context
A full-stack ERP for the Greek agricultural sector — supporting 10k+ farmer clients with declarations, subsidies, land registry, and compliance reporting.



Act II · My Proposal
MSc thesis: ConvLSTM + Conv3D models on Sentinel-2 multispectral time-series to classify crops — and automatically flag declarations that don't match the satellite.
The proposal: The ERP handles declarations, but can't verify them. I proposed using satellite imagery — the same data OPEKEPE uses for aerial checks — to classify crop types automatically and surface inconsistencies before they become penalties.
94.2%
Overall Accuracy
on held-out test set
0.96
F1 — Wheat
most common crop class
0.91
F1 — Cotton
highest-subsidy crop
12
Timesteps
Sentinel-2 patches per season
Models trained on the PASTIS benchmark (France) and validated on Greek region patches. Architecture: ConvLSTM encoder + 3D convolutional decoder, pixel-level classification.
Act III · My Proposal
A LangGraph agentic RAG system that answers Greek agricultural regulation questions with citations — built so advisors don't have to memorize 200-page policy documents.
The proposal: Advisors spent hours per week hunting through OPEKEPE bulletins and CAP regulation updates. I proposed a retrieval system that indexes the authoritative sources and answers questions with source citations — reducing a 20-minute search to a 10-second query.
Demo query →
Τι είναι το ΟΣΔΕ και ποιον σκοπό εξυπηρετεί;
Το ΟΣΔΕ (Ολοκληρωμένο Σύστημα Διαχείρισης και Ελέγχου) είναι το πληροφοριακό σύστημα μέσω του οποίου ο ΟΠΕΚΕΠΕ παραλαμβάνει την Ενιαία Αίτηση Ενίσχυσης (ΕΑΕ), διενεργεί ελέγχους επιλεξιμότητας στα αγροτεμάχια και καταβάλλει τις άμεσες ενισχύσεις της ΚΑΠ προς τους δικαιούχους αγρότες.
Requires email verification · 20 min session · 10 LLM calls included
Act IV · Selected Work

AI travel-planner with itinerary chat. Live demo with seeded trips.

Agentic retrieval over Greek agricultural regulations.

Bill tracker with spending analytics. Cross-platform.

Customer portal + admin panel for phone repair tracking.
Act V · Who I Am

Full-stack engineer with applied ML in production. The two acts you just saw are why.
Based in Greece. Open to AI/ML engineering roles in Germany and remotely. Interested in LLM engineering, applied ML, and AI-first product work.
ML / AI
Backend
Frontend
Infra
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