Manuel López pérez

Tech Lead and AI Engineer

Manuel López pérez
Madrid, Spain

Experience

Jan 2024 - Present
2 years 1 month

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.
Jan 2022 - Dec 2024
3 years

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.
Jan 2019 - Dec 2022
4 years
Spain

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.

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

Spanish
Native
English
Advanced

Education

Oct 2020 - Jun 2021

University of Salamanca

Master in Cybersecurity · Cybersecurity · Salamanca, Spain

Oct 2016 - Jun 2020

University of Salamanca

Bachelor’s in computer engineering · Computer Engineering · Salamanca, Spain

Certifications & licenses

Google Cloud Certified Professional Data Engineer

Microsoft Azure Fundamentals

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