I'm passionate about generative AI, modular system design, and real-world data integration in advanced simulation environments. My work focuses on recursive adaptability, procedural intelligence, and agent-driven modeling, crafting systems that learn, evolve, and reshape dynamically.
- 🌀 H3X Engine → Adaptive simulation platform integrating
real-world ecological data (
pygbif, OpenStreetMap) to create dynamically evolving environments. - 🤖 Ego-Driven AI Scenarios → Self-adapting procedural generation, leveraging recursive feedback loops for immersive, real-world applications.
- 📊 AI-Enhanced Visualization Dashboards → Real-time metric tracking with npm-driven interfaces, bridging generative AI with dynamic user interactions.
- 🔐 Modular AI Security Frameworks → Architecting sandboxed AI environments, ensuring safe, scalable adaptability.
- AI & Computational Systems → Reinforcement Learning, Recursive Adaptation, Multi-Agent Simulation
- Generative Intelligence → Synthetic data modeling, Ego-driven scenarios, Cognitive feedback loops
- Visualization & Interfaces → WebGL, Three.js, Data-rich Dashboards
- Data & Automation → OpenStreetMap, GBIF, Dynamic API pipelines
Active Automations:
- Automated Dependency Updates: Security patches and library upgrades via Dependabot.
- Code Scanning: Regular CodeQL analysis for vulnerabilities.
- Dynamic Profile Updates: Automated README refresh with latest activity.
→ All automations are designed to be modular, non-intrusive, and security-first.
I'm exploring new frontiers in self-learning AI frameworks, cybernetic hauntology, and the philosophy of adaptive intelligence.
Beyond technical precision, I strive to create intuitive, transparent, and human-centric AI environments.
Let's shape AI-driven ecosystems that are dynamic, responsive, and deeply interconnected with the real world! 🚀