Seguridad IA · AI Safety · Red Teaming
Adrian Infantes
Ingeniero de Seguridad IA
Protejo sistemas de IA de los ataques que aun no se han inventado.
Sobre mi
Construyo y rompo sistemas de IA para uno de los mayores bancos de Europa. +6 anos en la interseccion entre AI Engineering y Seguridad Ofensiva, especializado en entornos de Financial Crime: AML, Sanctions Screening, KYC/KYB y Transaction Monitoring. Evaluo, ataco y fortifico Foundation Models, pipelines RAG y Agentic Systems en produccion bancaria regulada.
Desde la matematica detras del Transformer hasta la superficie de ataque del agente autonomo -- pensamiento de primeros principios aplicado a hacer sistemas de IA seguros por diseno.
Experiencia
De pipelines de datos a arquitectura de seguridad IA
AI Security Architect
BBVA Technology
Protecting AI systems in European banking from adversarial attacks
[Detalles tecnicos]
Designed the AI Safety architecture (HLD/LLD) for sensitive data processing in Financial Crime environments -- AML, KYC/KYB, and Transaction Monitoring pipelines -- combining NVIDIA infrastructure (DGX + Triton) with Azure Confidential Computing.
- Led AI Red Teaming: 206+ attack vectors evaluated, 7 critical findings remediated pre-deploy
- MLSecOps end-to-end: security gates in CI/CD, Zero Trust, Defense-in-Depth architecture
- Hybrid on-premise + cloud architecture with GDPR and banking regulation compliance
AI/ML Engineer
BBVA Technology
Building secure RAG and fraud detection for financial crime prevention
[Detalles tecnicos]
Design, development and deployment of AI systems with integrated AI Safety for regulated financial sector environments, combining on-premise GPU clusters and AWS (SageMaker, Bedrock).
- Secure RAG with guardrails (GraphRAG, Self-RAG) on sensitive documentation using FAISS + Elasticsearch
- NLP pipelines processing +10M interactions/year -- ASR, diarization, sentiment analysis
- Fraud detection ensemble models (XGBoost + Transformers) on 50K documents/day
Machine Learning Engineer
Ecoembes
Automating waste classification with computer vision and edge AI
[Detalles tecnicos]
Technological modernization of waste sorting plants using hybrid cloud + Edge AI architectures, automating classification, logistics optimization and operational analytics.
- Real-time CV classification system: 12 waste types, 85% accuracy, 45K images/hour, <100ms latency
- Logistics optimization: heuristic route algorithms migrated to cloud, -25% km traveled
- NLP assistant: migrated legacy to BERT multilingual, +40% precision in citizen queries
Data Scientist
Capgemini
Modernizing analytics with cloud data pipelines on AWS
[Detalles tecnicos]
Contributed to the design and modernization of analytical solutions on AWS, working on data pipelines, predictive modeling, BI and automation.
- Data Lake & ETL: consolidated 10+ data sources into S3 with Python and Boto3
- Predictive modeling with scikit-learn for product adoption forecasting
- Serverless automation with AWS Lambda, saving 10 hours/week per analyst
Proyectos Destacados
10+ proyectos en 3 sectores industriales
Stack Tecnico
Herramientas que uso para construir y asegurar sistemas de IA
AI Security
AI/ML
LLMs & Agents
NVIDIA
Infrastructure
Languages
Rompiendo el Modelo
Dos angulos de los ataques adversariales contra Foundation Models
point cloud projection of skill embeddings. click "inject attack" to watch the adversarial pulse corrupt the manifold.
Every Foundation Model encodes its knowledge as points in a high-dimensional space. Attacks don't target text -- they target the manifold.
Cluster topology
Skills and concepts group into semantic regions. NLP, CV, RAG, Agents, Safety -- each is its own neighborhood in the embedding space.
Adversarial perturbation
A crafted input moves by a vector humans can't perceive, but lands it in a region the model classifies completely differently.
Manifold corruption
Click 'inject attack' to watch the pulse propagate through the cluster topology. This is how jailbreaks, prompt injection, and evasion attacks work at the geometric level.
Adrian encaja en tu puesto?
Pega una descripcion del puesto y nuestra IA analiza el encaje contra el perfil real de Adrian -- proyectos, experiencia, skills y certificaciones.
$ job_match --analyze
Educacion
Universidad Camilo Jose Cela
BS Double Degree Computational Mathematics & Computer Science
spec: Artificial IntelligenceMIOTI | Tech & Business School
Master's Degree, Gen AI & Deep Learning
MIOTI | Tech & Business School
Master's Degree, Big Data & Data Science
U-tad
CFGS Administracion de Sistemas Informaticos en Red (ASIR)
$ Certificaciones
Actividad GitHub
Contribuciones open source y proyectos personales
$ gh repo list --sort updated
Generate your own ARCA — a Claude Code agent orchestrated by 59 specialist subagents, skills, hooks and pipelines.
A.R.C.A. — Adversarial multi-agent system for ML/AI engineering. Landing page for Anthropic Fellows program 2026.
Kaggle competitions — one subdirectory per challenge