I'm an AI Engineer, Data Engineer, and Data Scientist focused on building end-to-end data and GenAI systems on modern cloud platforms. My work spans Databricks data engineering, RAG and multi-agent LLM applications, ML/MLOps, evaluation, and production delivery.
My primary current portfolio project is an end-to-end multi-agent equity research system on Databricks, combining Bronze/Silver/Gold data pipelines, Unity Catalog, Databricks Workflows, Vector Search, LangGraph, GPT OSS worker/synthesis models, MLflow tracing and GenAI evaluation, CI/CD, and a deployed Databricks App.
I hold a PhD in Political Science from the University of Geneva, with a quantitative research background that adds strong domain and analytical depth in international relations, policy, finance, and applied research.
- 🔭 Building production-oriented Databricks data + AI systems with tested deployment, governance, observability, and evaluation
- 🤖 Working across RAG, multi-agent AI, LLM evaluation, ML/DL, and MLOps
- 🏥 Delivered a malaria forecasting and data/ML workflow at Terre des Hommes using Azure Databricks, Spark, dbt, Terraform, and MLflow
- 📈 Developing applied AI systems for equity research, financial analytics, and algorithmic trading
- 💬 Languages: English, German, French, Arabic, Persian, Kurdish
AI & Machine Learning
MLOps & Cloud
Backend & APIs
Data & Analytics
| Project | Description | Stars |
|---|---|---|
| Multi-Agent Equity Research System on Databricks — Primary Portfolio Project | End-to-end Databricks data + AI engineering system: Bronze/Silver/Gold pipelines, Unity Catalog, Workflows, Vector Search/RAG, LangGraph agents, GPT OSS models, MLflow evaluation, CI/CD, and a deployed private Databricks App | ⭐ new |
| 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