David Quispe

Hi 👋🙂

I am a Systems Engineering graduate specialized in cybersecurity and artificial intelligence frameworks.

My cybersecurity background includes vulnerability intelligence, secure architecture design, and adversarial threat modeling, implemented across hybrid infrastructures under international frameworks such as ISO/IEC 27001/22301, NIST CSF, and ENS. I ensure compliance with data protection regulations like GDPR, integrating access control, traceability, and rapid response mechanisms in regulated environments.

In AI, I build modular systems around large language models, with emphasis on prompt engineering, behavioral control, and secure deployment. I develop agentic architectures with planning and tool-use capabilities, including code-executing agents operating in sandboxed, auditable environments. Data pipelines involve filtering, augmentation, and synthetic data generation via simulation and controlled sampling to support both supervised and reinforcement learning. Alignment strategies include DPO and GRPO, with robustness enhanced through adversarial evaluation.

My work integrates AI safety principles across the model lifecycle—aligned with the AI Act (EU), GDPR, the OECD AI Principles, and ISO/IEC TR 24368, which provides technical guidance on AI system risks, resilience, and trustworthiness. I aim to build systems that are trustworthy, compliant, and technically robust for real-world, high-stakes environments.