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georgebon5/README.md

Hi, I'm George 👋

CS student at NKUA. I genuinely enjoy programming — most of my free time goes into building projects or going deep on something I find interesting.

Right now I'm focused on AI engineering — building systems that actually work in production, not just notebooks that run once.


Things I've built

A full SaaS backend where organisations upload documents and chat with them using RAG. Not a toy — it has real multi-tenancy (strict data isolation per tenant), JWT + 2FA auth, RBAC, Stripe billing, WebSocket streaming, Celery workers, Kubernetes manifests, Prometheus/Grafana monitoring, and 126 tests.

Python FastAPI ChromaDB PostgreSQL Celery Docker Kubernetes Stripe Claude API


NBG TechBliz / Next Jr by NBG 🏆 1st · 3rd overall

Fintech app built for a National Bank of Greece hackathon. My team won 1st in our category and 3rd overall. I handled the entire frontend and the main product UI.

TypeScript Next.js React


End-to-end MLOps setup for a classification problem — DVC for data versioning, MLflow for experiment tracking, FastAPI for serving, Docker, GitHub Actions CI/CD, and Evidently AI for drift monitoring.

Python MLflow DVC FastAPI Docker GitHub Actions


Tech

Python · C / C++ · TypeScript · JavaScript · SQL · Next.js · FastAPI · Docker · Kubernetes


Connect

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  1. MLOps-Pipeline MLOps-Pipeline Public

    Jupyter Notebook

  2. Multi-Tenant-AI-Document-Pipeline Multi-Tenant-AI-Document-Pipeline Public

    Production-ready Multi-Tenant AI RAG System — upload documents and chat with them using Claude/GPT. Built with FastAPI,ChromaDB, PostgreSQL, Celery.

    Python

  3. nbgtechbliz nbgtechbliz Public

    Next Jr. by NBG - youth banking MVP

    TypeScript

  4. minillm-cpp minillm-cpp Public

    From-scratch C++ LLM inference engine — runs SmolLM2 (135M–1.7B) on CPU with hand-written NEON SIMD, INT8 quantization, and a live web UI.

    C++

  5. political-response-clarity political-response-clarity Public

    Python