
Diego de Torres
@diegodetorres
I build production-ready RAG and multi-agent AI systems with FastAPI, evaluation, and scalable architecture.
What I'm looking for
At Grupo Planeta, I build end-to-end RAG and agent solutions using LangChain, LlamaIndex, FastAPI, and reusable FAISS vector platforms. I turn validated business PoCs into more robust production systems through continuous evaluation and secure prompt management.
Previously at Revertis, I delivered asynchronous Python/FastAPI microservices and .NET systems in Docker, including real-time, high-scale processing and SQL optimization. I’ve worked in regulated fiscal environments where traceability, reliability, and multi-ERP load are essential.
I bring a product mindset to responsible AI, translating operational needs into practical technical decisions. My background also includes Python data pipelines for regulated infrastructure at Grupo Elecnor and postgraduate work in AI, NLP, transformers, and model evaluation.
Experience
Work history, roles, and key accomplishments
AI/ML Innovation Engineer
Grupo Planeta
May 2025 - Apr 2026 (11 months)
Developed RAG and agent end-to-end solutions using LangChain, LlamaIndex, and FastAPI on a reusable FAISS vector platform, with architecture and scalability decisions. Validated PoCs with business and hardened them toward production with MLOps evaluation and secure prompt management.
Software Engineer
Revertis
Apr 2023 - Apr 2025 (2 years)
Built asynchronous Python/FastAPI microservices and .NET in Docker, taking concepts to production with clean code. Handled multithreaded/asynchronous processing at scale with SQL optimization and operated under SII/TicketBAI regulation.
Data & Automation Specialist (PMO)
Grupo Elecnor
Apr 2022 - Mar 2023 (11 months)
Developed Python pipelines and traceable reporting for regulated infrastructure (AENA, RENFE), setting a precedent for compliance.
Education
Degrees, certifications, and relevant coursework
UNIR
Master's Degree, Artificial Intelligence
2025 - 2026
Pursuing a Master's in Artificial Intelligence with coursework in deep learning, NLP, Transformers, GNNs, and evaluation under imbalance. Final thesis on hierarchical multilingual classification using XLM-RoBERTa and graphs.
Universitat Politècnica de Catalunya
Bachelor's Degree, Telecommunications Systems Engineering
2019 - 2023
Bachelor's degree in Telecommunications Systems Engineering with a strong foundation in signal processing, statistics, networks, and algorithms. Final thesis on anomaly detection using computer vision.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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