I engineer autonomous, decision-driven AI systems that transform raw data into reliable, explainable actions — across finance, trading, and domain-specific automation.

I design and build production-grade AI systems, not demos.

My work sits at the intersection of:

• quantitative modeling
• machine learning & deep learning
• autonomous agent orchestration

I focus on end-to-end intelligence pipelines — from data ingestion to decision execution — with strong emphasis on robustness, explainability, and scale.

Primary domains:

• 📈 Quantitative trading & financial intelligence
• ⚖️ Legal & domain-specific AI systems (Arabic & English)
• 🤖 Agentic AI, RAG pipelines & workflow automation

📍 Medina, Saudi Arabia
📧 abdulazizhkeem9@gmail.com

AI-driven backend that transforms market data into explainable, automated trading signals.

🔗 Repository: https://github.com/azowz/ai_treader_stock
📦 Stack: FastAPI • PostgreSQL • TA-Lib • yFinance • Pandas

Key Capabilities

• Automated technical indicator generation
• Alpha feature engineering (RSI, MACD, EMA, ATR)
• Signal inference & strategy evaluation
• Scalable REST API with persistent storage

Why it matters

• Bridges quantitative research with real-time systems
• Built as an extensible backend — not a research notebook

Arabic-first legal AI assistant for Saudi labor law memo drafting.

🔗 Repository: https://github.com/azowz/labor-law-assistant
📦 Stack: LangChain • OpenAI API • FastAPI • PostgreSQL

Key Capabilities

• Legal document ingestion (PDF / HTML)
• Arabic prompt engineering & RAG
• Domain adaptation for higher factual accuracy

Why it matters

• Real LLM deployment in a regulated domain
• Significant reduction in legal drafting time

Multi-agent platform that runs and optimizes paid ad campaigns using AI.

🔗 Repository: https://github.com/azowz/ai_agent_ads
📦 Stack: n8n • FastAPI • LangChain • Google Ads API • OpenAI

Key Capabilities

• Budget-aware campaign orchestration
• AI-driven performance analysis
• Automated optimization & scheduling

Why it matters

• Demonstrates agent coordination under business constraints
• Clear ROI-driven automation use-case

I don’t just use AI — I engineer systems that think, decide, and scale.