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Javier Benitez Marin - Visual Studio Code

Explorer

portfolio
README.md

README.md

AGENTS.md

AGENTS.md

skills
README.md

README.md

hard
document-intelligence
multimodal-fraud-detection
rag-systems
multi-agent-orchestration
soft
communication
ownership-reliability
mentoring
adaptability
ideation-workflow
experience.md

experience.md

projects
blog
contact.config

contact.config

settings.json

settings.json

portfolio/experience.md

Experience

M47 AI — AI Engineer / Forward Deployed Engineer

Oct 2025 – Present · Barcelona

  • Multimodal Fraud Detection (DocFraud): Built a hybrid fraud analysis engine combining Computer Vision with multimodal LLMs to automate visual document inspection and risk-level decisions, deployed within client document-intelligence pipelines to reduce manual review.
  • Conversational Analytics Agent: Designed and implemented a conversational agent on Snowflake Cortex for a leading pharmaceutical client, enabling upper management to query enterprise data in natural language.
  • Document Intelligence Pipelines: Led the AI design across multiple client projects, including a veterinary platform parsing invoices and reports, and a high-throughput contract extraction system.
  • Conversational AI Consulting: Acted as AI consultant for a major enterprise client, reviewing a production conversational solution on Cognigy.
  • Observability & CI/CD: Integrated Langfuse to monitor non-deterministic LLM workflows and owned the GitHub Actions pipelines for automated testing and serverless delivery.

Inspiring News — CTO

Jan 2025 – Oct 2025 · Remote

  • System Architecture: Defined the technical roadmap and architected an autonomous generative content pipeline, transitioning from manual workflows to a fully automated multi-agent system.
  • Agent Orchestration: Developed an LLM-agnostic framework (OpenAI, Gemini, Claude) using Python and LangChain, featuring a semantic deduplication engine and vector-based research agents.

Napptilus Tech Labs — Machine Learning Engineer

Jul 2022 – Jan 2025 · Barcelona

  • End-to-End ML Systems: Directed development of full-stack AI solutions from unstructured data ETL pipelines to production REST APIs via FastAPI and Docker on AWS EC2.
  • Advanced Research: Led a scientific team developing Graph Neural Network architectures for cybersecurity R&D and co-founded an internal blockchain-based asset platform.

StageInHome — ML Engineer Intern

Feb 2022 – Jul 2022 · Barcelona

  • Procedural Vision Engines: Engineered Python-based automation for Blender to synthesise 3D environments from 2D floorplans.

Education

  • UPC — ETSETB Telecom BCN — MEng, Advanced Telecommunication Technologies 2022 – 2024
  • UPC — ETSETB Telecom BCN — BEng, Telecommunication Services 2017 – 2022

Languages

Spanish (Native) · Catalan (Native) · English (Professional)