I focus on building architectural blueprints for verifiable AI-human symbiosis, grounded in formal mathematical theory.

• Dual-Lattice Knowledge Representation: A system for managing project knowledge and conversation memory through lattice algebra, enabling infinite context without bloat.
• Grounded Context Pools: Content-addressable knowledge graphs with multi-dimensional overlays (Structure, Security, Lineage, Mission, Operational, Mathematical, Coherence).
• Surgical Context Management: Micro-level token optimization that maintains high-fidelity agentic workflows through precise context eviction.
• Multi-Agent Coordination: Asynchronous communication systems for verifiable, distributed AI reasoning.

• AI Reasoning Architecture: Designing systems for verifiable, reproducible, and cryptographically-backed AI thought processes.
• High-Performance CLI Tooling: Building production-ready terminal interfaces with reactive feedback and advanced session integrity.
• Context Optimization: Implementing tri-modal compression and surgical eviction to manage massive codebases (150K+ lines) within LLM context windows.
• System Integration: Expertise in ZeroMQ-based IPC, content-addressable storage, and multi-provider LLM abstraction (Gemini, Claude, OpenAI).

• Core: TypeScript • Node.js • ZeroMQ (Pub/Sub) • LanceDB • Git-inspired Storage
• AI Ecosystem: Google ADK (Gemini 3.1) • Anthropic SDK (Claude/Minimax) • OpenAI Agents SDK
• Architecture: Dual-Lattice Knowledge Systems • Surgical Context Eviction • Grounded Context Pools
• UI/UX: Ink (React for CLI) • Interactive AST Markdown Rendering

• GitHub: @mirzahusadzic
• Email: mirza.husadzic@proton.me
• Project Focus: AI Reasoning Systems, eGemma