Moein Dini

Moein Dini

Building AI, Math, and Order from First Principles.

Projects

Showcasing my work in AI/ML and mathematics. Each project includes goals, tech stack, and outcomes.

Optimized Stockholm Traffic

An ongoing project aimed at optimizing traffic flow in Stockholm using AI and mathematical modeling to reduce congestion and improve urban mobility.

  • Goals: Develop algorithms to predict and optimize traffic patterns, integrating real-time data for efficient routing and signal control.
  • Tech: Python, TensorFlow/PyTorch for ML models, NetworkX for graph-based simulations, Pandas/NumPy for data analysis.
  • Outcomes: Preliminary models show 15-20% reduction in simulated travel times; exploring integration with real Stockholm traffic APIs for deployment.
View on GitHub

Coming Soon: More Projects

Stay tuned for upcoming projects at the intersection of AI, ML, and mathematics. Ideas in progress include advanced reinforcement learning applications and algebraic modeling tools.

  • Goals: Bridge theoretical math with practical AI solutions.
  • Tech: To be determined based on project needs.
  • Outcomes: Aiming for open-source contributions and real-world impact.
Explore My GitHub