Investigating AI architectures, defense systems, and the ethical boundaries of machine intelligence. Open research. Real data. Published findings.
Self-hosted LLM inference, model fine-tuning, and multimodal research. Exploring the boundaries of local AI capabilities with open-source architectures.
Vulnerability capture and disclosure, IDS/IPS analysis, and ML-based anomaly detection. Proactive defense research with real-world threat data.
Workflow automation, self-healing infrastructure, and adaptive response pipelines. Investigating how systems can learn, recover, and evolve without human intervention.
We are a species that has evolved by understanding the universe around us. From harnessing fire to decoding DNA — and now, training intelligence itself. The question isn't whether we can. It's whether we should, and how.
Interested in AI research, vulnerability disclosure, or infrastructure intelligence? Let's collaborate.