Manuel López Pérez
Tech Lead and AI Engineer
Experience
Tech Lead and AI Engineer
Bisite
- Architected and built autonomous multi-agent systems for automated incident response (SOAR) using LangChain, moving from experimental prototypes to stable services.
- Standardized the ML lifecycle using MLflow for experiment tracking and model registry, automating deployment pipelines via CI/CD.
- Engineered high-throughput data pipelines using Dagster, Elastic and Apache Kafka to ingest, process, and normalize telemetry data for real-time AI analysis.
- Led the containerization and orchestration of AI microservices using Docker and Kubernetes on cloud.
- Applied "Secure-by-Design" principles to LLM agents, conducting red-teaming against prompt injection and data leakage with Python, LangChain and OpenAI API.
Cybersecurity Engineer
Air Institute
- Worked on cybersecurity and ML in production-grade solutions using PyTorch and scikit-learn.
- Operated cloud-native security platforms on Azure and GCP.
- Implemented DevSecOps workflows, CI/CD pipelines and containerized deployments with MLflow.
- Integrated Big Data and streaming components into security architectures using Dagster, Apache Kafka and Elastic.
- Performed vulnerability assessments, pentesting tasks and incident analysis.
- Ensured reliability through automated testing and monitoring.
AI Security Researcher
University of Salamanca
- Conducted applied research in machine learning for cybersecurity using FastAPI, Flask and microservices.
- Designed and evaluated detection models using large-scale security datasets.
- Built research prototypes for security analytics using gRPC, Elastic (ELK) and Kafka.
Industries Experience
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Experienced in Information Technology (4 years) and Education (4 years).
Business Areas Experience
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Experienced in Information Technology (7 years), Research and Development (4 years), and Product Development (2 years).
Summary
Senior AI Security Engineer and Technical Lead specialized in Agentic AI and LLM-based systems, backed by a strong foundation in cybersecurity.
Architects secure-by-design autonomous solutions using Python, LangChain and PyTorch, applying a security engineering mindset to evaluate robustness, safety and misuse risks prior to deployment.
Engineers high-performance data and inference pipelines, managing the full model lifecycle with Dagster/Airflow, Kafka, Elastic and MLflow.
Delivers scalable, production-grade AI systems on Azure and GCP, using API-driven architectures, DevSecOps workflows, CI/CD (GitHub Actions) and robust testing practices (pytest unit and integration tests) to ensure reliability and maintainability in production.
Skills
Core Expertise
- Agentic Ai
- Multi-agent Systems
- Llm Engineering
- Rag Pipelines
- Ai Security
- Devsecops
Ai Stack
- Python
- Langchain
- Openai Api
- Pytorch
- Scikit-learn
- Mlflow
Data & Backend
- Dagster
- Apache Kafka
- Elastic (Elk)
- Fastapi / Flask
- Microservices
- Grpc
Cloud
- Azure Ai Services
- Docker
- Kubernetes (Aks)
- Github Actions
Languages
Education
University of Salamanca
Master in Cybersecurity · Cybersecurity · Salamanca, Spain
University of Salamanca
Bachelor’s in computer engineering · Computer Engineering · Salamanca, Spain
Certifications & licenses
Google Cloud Certified Professional Data Engineer
Microsoft Azure Fundamentals
Profile
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