Hi, I'm George Obaido!

Researcher and Leader focused on Machine Learning and AI for real-world impact across climate risk, legal intelligence, and predictive analytics.

About Me

I lead and contribute to AI research and applied data science initiatives that bridge rigorous methodology with practical deployment. My work emphasizes reproducibility, interpretability, and measurable outcomes.

Research and Leadership Focus

• Research-driven ML for tabular and time-series forecasting
• LLM evaluation, safety testing, and benchmark design
• NLP and Retrieval-Augmented Generation (RAG) systems
• Climate and legal AI applications for decision support
• End-to-end project leadership from framing to delivery

Featured Original Projects

• drought_za
  Drought analysis and risk modeling in South Africa using CHIRPS indicators, geospatial data, and notebook-based ML workflows.
• SAlegalchat-bot
  Legal-domain RAG chatbot for document-grounded question answering and practical legal intelligence workflows.
• South_Africa_Volatility_Regression
  Regression-based volatility modeling with clear evaluation and interpretable outputs.
• TerraVista
  Applied data/web project demonstrating product thinking and implementation.

Curated ML Safety and Evaluation Repositories (Forks)

I maintain this curated set of forked open-source repositories for learning, benchmarking, safety testing, and red teaming workflows.

• lm-evaluation-harness - LLM benchmark harness
• inspect_ai - structured evaluation framework for LLM testing
• lighteval - lightweight evaluation workflows
• helm - holistic language model evaluation
• PyRIT - red teaming and risk identification for LLM systems
• garak - LLM vulnerability scanning
• llm-guard - prompt and output security controls
• ailuminate - safety-focused LLM assessments
• adversarial-robustness-toolbox - adversarial ML robustness
• counterfit - AI security testing toolkit
• giskard-oss - ML model testing and quality checks

Technical Stack

Python Pandas NumPy scikit-learn XGBoost TensorFlow statsmodels SQL Jupyter Git

Current Focus (2026)

• Advancing robust, research-backed ML/AI systems for real-world use
• Building practical LLM evaluation and safety workflows
• Strengthening model governance, reliability, and reproducibility

Publications

• Google Scholar: https://scholar.google.com/citations?user=cCXONVYAAAAJ&hl=en&oi=ao

Connect

• LinkedIn: https://www.linkedin.com/in/georgeobaido/
• Email: rabeshi.george@gmail.com