Developer • Researcher • ML Engineer
Turning ideas into intelligent, scalable systems.

I'm a builder & researcher focused on AI systems, reinforcement learning, multi-agent dynamics, and full-stack engineering.
My work spans theoretical ML → production deployment.

📍 United States
📬 Email: mohammadnimajafari@yahoo.com
🔗 Portfolio / GitHub: https://github.com/NimaJafariComp
🏢 Co-founder @ Zafri-AI

My work sits at the intersection of machine learning theory, multi-agent systems, and practical full-stack AI engineering.
I'm especially interested in how intelligent systems learn, reason, and coordinate under uncertainty.

• Reinforcement Learning — strategy discovery, state abstraction, credit assignment
• Multi-Agent RL & Coordination — emergent behavior, cooperative/competitive systems
• Game Theory & Decision-Making — equilibria, strategic optimization, adversarial settings
• Robust & Reliable ML — distributional shifts, adversarial robustness, stability
• Compositional ML — modular architectures, hierarchy, reusable computation
• AI Debate & Argumentation — multi-agent debate as reasoning + verification
• Graph & Topological ML — Hasse diagrams, cluster structures, graph-based policies
• Vision ML — perception models, feature extraction, visual RL

• Large-scale AI systems (pipelines, cloud, deployment, monitoring)
• Agents & automation (tool-using systems, RAG, agent orchestration)
• Full-stack ML applications (React/Node, Python backends, API engineering)