I'm an AI Engineer and Data Scientist with 10+ years of experience building production-grade ML systems, LLM pipelines, and data engineering solutions. I hold a PhD in Political Science (Quantitative Conflict Research) from the University of Geneva, giving me a rare interdisciplinary edge — pairing deep technical expertise with domain knowledge in international relations, public health, and policy.
- 🔭 Most recently delivered a malaria outbreak forecasting & MLOps system at Terre des Hommes (Azure Databricks, Spark, dbt, Terraform — informing weekly decisions for ~24M residents in Burkina Faso)
- 🤖 Working across Multi-Agent AI, LLMs, RAG, Deep RL, and GenAI applied to real-world problems
- 🧠 Contributor to Outlier / Scale AI frontier-model evaluation projects (incl. tasks for Humanity's Last Exam)
- 📈 Building end-to-end algorithmic trading systems using ML/DL, DRL, and multi-agent architectures
- 💬 Speak: English, German, French, Arabic, Persian, Kurdish
AI & Machine Learning
MLOps & Cloud
Backend & APIs
Data & Analytics
| Project | Description | Stars |
|---|---|---|
| GenAI MultiAgent Trading System | Local-first GenAI trading workstation with live cTrader data, paper execution, deterministic risk controls, and local LLM support via Ollama | ⭐ 8 |
| Python & SQL Interview Prep Dashboard | Python & SQL interview prep dashboard with browser-based runners, quizzes, flashcards, progress tracking, and optional local Ollama AI tutor support. Live demo | ⭐ new |
| chatgpt-trading-strategy-assistant | Fully automated FastAPI + Docker pipeline over cTrader Open API — natural-language chart analysis, Notion journaling, and order placement | ⭐ 37 |
| Deep RL MT5 Bot | SB3 agents (PPO, A2C, DQN) bridged with MetaTrader 5 for backtesting and live trading | ⭐ 2 |
| AlphaFlow MT5 ML/DL Trading Lab | End-to-end ML & DL trading framework for MT5 — data loading, feature engineering, training, backtesting | ⭐ 7 |
| cTrader-MLAuto-Trader | cTrader ML Auto-Trader (Double-Barrier labeling, Docker, VectorBT, Optuna) | ⭐ 2 |
- Ali, H., Aghdam, M., et al. (2026). The Algorithmic Diplomat: Using Generative AI to Simulate Bureaucratic Responses to an International Crisis. Journal of Comparative Policy Analysis (under review).
- Ali, H., Aghdam, M., Bhuiyan, S. (2025). Oil extraction, grievances, and conflict: Evidence from Niger Delta and South Sudan. Defence and Peace Economics. Open Access
- Alijla, A., Aghdam, M. (2017). Different Paths to Democracy in the MENA Region: A Configurational Comparative Analysis. Journal of Political Sciences & Public Affairs, 5(2): 265.
- Multi-agent LLM orchestration (LangGraph, CrewAI, AutoGen) for research and decision-support workflows
- Evaluation & alignment challenges for frontier models
- Applied time-series forecasting for public health and risk analytics
📍 Geneva, Switzerland | 🌐 mohammadaghdam.com