Georgios Papachristou
Data & AI Team Leader
Greece
Summary
🤩
Rockstar🎓
Top SchoolGeorgios Papachristou is a Data & AI Team Leader with 8 years of hands-on experience building scalable ML systems, big data pipelines, and production-grade MLOps on Azure and Databricks. He has led large migrations (managing platforms for 6,000+ models), implemented “models as code” CI/CD, and optimized Spark/Delta Lake workflows to substantially boost throughput and scalability. Comfortable across software engineering, applied statistics and ML, he routinely combines neural nets and ensemble methods with naval-inspired feature engineering and simulated data to improve model robustness. His background spans cost-saving AzureML solutions, automated lifecycle pipelines, and realtime anomaly detection for high-throughput streaming platforms. As an active engineer, he contributes backend code and unit tests to an open-source Python AI assistant, reflecting a focus on testable, production-ready tooling. Based in Greece, he pairs startup experience (co-founder) with enterprise leadership to translate data insights into operational impact.
8 years of coding experience
10 years of employment as a software developer
Master of Science - MS Business Analytics, Master of Science - MS Business Analytics at Athens University of Economics and BusinessBachelor of Science - BS Physics, Bachelor of Science - BS Physics at Ethnikon kai Kapodistriakon Panepistimion Athinon
Stackoverflow
1,320reputation
122kreached
55answers
7questions
pyspark
top-5%
apache-spark
top-5%
Github Skills (16)
speech-recognition10
python10
natural-language-processing9
pyspark9
nlp9
apache-spark9
unit-testing8
webbrowser7
hive6
mlops6
mlflow6
data-cleaning6
dataframe6
data-processing6
scala6
Programming languages (3)
Github contributions (5)
ggeop/Python-ai-assistant
May 2019 - Oct 2021
Python AI assistant 🧠
Role in this project:
Back-end Developer
Back-end DeveloperContributions:16 releases, 1 review, 327 commits in 2 years 5 months
Contributions summary:Georgios primarily contributed to the core functionality of the Python AI assistant. Their commits involve the creation of the `action_controller.py`, `command_controller.py`, `assistant.py`, and `settings.py` files, which handle the assistant's interactions, command execution, and configuration. They also implemented functionalities such as opening websites in the browser, telling the time, and integrating with the Wikipedia API. The commits also include unit tests for the action controller and command controller, demonstrating a focus on testing.
python-aipythonvoice-recognitionsklearnvoice-recognition-experiment
ggeop/Recommendation-Systems-Evaluation-Metrics
May 2018 - Feb 2019
Contributions:25 commits, 5 pushes in 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.