Jose Lopez
I build AI systems that survive contact with production.
GitHub · LinkedIn · Disrupted AI · email
now
I am Head of AI at bunny.net, where I work on AI for edge infrastructure.
I like the part after the demo: identity, isolation, evaluation, observability and the boring decisions that let a system keep working when the model changes.
bio
I have been building software for twenty-five years, the last decade in machine learning, cybersecurity and large-scale infrastructure.
I started orchestrating agents in production at IriusRisk, where my team shipped a multi-agent simulation platform for secure-by-design engineering. Before that I built ML systems serving billions of predictions a day, led a company working on critical infrastructure, and founded a mobile software company.
where I have been
- 2025 →
- bunny.net · Head of AIAI strategy, platform and security-by-design for edge infrastructure.
- 2024–25
- IriusRisk · Head of AIBuilt the AI team and platform from zero; shipped Jeff, Bex and ASH inside the product.
- 2023
- DTEK.ai · Head of AIVision-based automation and generative AI for retail.
- 2017–23
- Mimecast · Big Data Specialist → Principal ML EngineerML infrastructure across ten services, computer vision and LLM-based phishing categorization.
- 2014–17
- Zed · Lead ML / Big Data ArchitectDistributed graph engine processing billions of nodes and EU-funded graph ML research.
- 2013–14
- ELIMCO Sistemas · CEOLed 150+ professionals in defense and critical infrastructure, including work with Lockheed Martin on the AEGIS combat system.
- 2011–13
- MightyGate · Founder & CEO12+ mobile apps, 850K+ downloads, seed capital and a profitable exit.
- 2000–11
- EarlierSoftware architecture and project management for government, telecom and industrial systems.
things I have built
The company systems below are in production now or have been in production.
One path for AI calls: multi-provider LLM routing, streaming, usage and cost control, PII detection and redaction, audit logging, guardrails and prompt-injection resilience.
A production workspace for coordinated agents with scheduled loops, persistent file-based memory, inter-agent messaging, receipts and human gates.
Guided threat modeling inside the product, reducing onboarding from hours to minutes, around 90%.
A digital-twin, multi-agent framework for simulating attacks and finding issues before development.
A vision-language system for checkout and in-store flow automation, combining computer vision with a custom AI assistant.
Computer-vision models trained from scratch to detect nudity and violence in images and run in production.
Visual detection and classification of brands and logos in images for security and content analysis.
Production ML services handling more than 250 million predictions per day per service, with observability, latency and cost controls.
Evaluation datasets and testing frameworks for drift and hard negatives, with model cards, automated benchmarks and audit trails.
Large-scale email-generation frameworks using advanced language models to improve phishing categorisation.
A graph-processing engine built with Spark and MapReduce, capable of handling billions of nodes.
A marketing ML application that orchestrated artificial worldwide Twitter trending topics using graph-based algorithms.
AEGIS combat-system integration with Lockheed Martin for the Spanish F-105 frigate.
Software for critical infrastructure, including a natural-gas plant, alongside defense and industrial programs.
Open source
Independent AI-powered threat modeling for Claude Code, with STRIDE, PASTA, compliance mapping and security verification.
A small environment for multi-agent teams: isolated workspaces, scheduled loops, memory and receipts.
writing
I write Disrupted AI, on secure and auditable enterprise LLM systems.
press & talks
- AI Governance in the Age of Regulation · panelist, with Diana Kelley (CISO, Noma Security) and Sonja Bartels (SVP, Uniper) · AuditBoard / Optro
- Why ChatGPT Isn’t a Death Sentence for Cyber Defenders · author · Dark Reading
- Cyber Insights 2023: Artificial Intelligence · quoted expert · SecurityWeek
- How ChatGPT Can Help and Hinder Data Center Cybersecurity · quoted expert · Data Center Knowledge
- It’s Scary Easy to Use ChatGPT to Write Phishing Emails · featured expert · CNET
misc
I live on the Spanish coast and work from there. The commute is excellent.
I would rather ship a boring system that stays up than a clever one that needs me awake.
If you are building something where AI has to be safe, useful and operational, we can talk.