Lab
Active technical investigations, code experiments, and functional prototypes built to test operational limits.
AI Governance & Shadow AI Risk Frameworks
Enterprise Risk Layer Exploration
Investigating how unauthorized and untracked enterprise LLM usages impact traditional risk models. Developed a silent runtime auditing proxy capable of analyzing prompt payloads for toxic exfiltration risk without slowing down application performance.
High-Context Multi-Agent Synchronization
State Sharing & Token Efficiency Engine
Experiments in minimizing state inflation in autonomous agents running complex recursive loops. By implementing an optimized protocol for state compaction and graph-based memory delta storage, context window requirements dropped by 64%.
Local LLM Compliance Benchmarking Suite
Automated Regulatory Evaluation Tool
An automated framework that runs local lightweight models against EU AI Act compliance datasets. Evaluates edge model weights under quantized constraints to verify if strict differential privacy bounds hold true under adversarial prompt generation.