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Hi, I’m Gonzalo Tomas. I’m an AI Engineer & Product Manager based in Madrid. I own end-to-end delivery of production AI systems, from problem discovery and agent/prompt design to development, monitoring and iteration. I have a strong Python engineering background and build reliable services (FastAPI, Pydantic) and ship NLP/LLM solutions integrated into real client workflows. I thrive in ambiguous environments and enjoy collaborating directly with customers to translate needs into measurable impact.…Hi, I’m Gonzalo Tomas. I’m an AI Engineer & Product Manager based in Madrid. I own end-to-end delivery of production AI systems, from problem discovery and agent/prompt design to development, monitoring and iteration. I have a strong Python engineering background and build reliable services (FastAPI, Pydantic) and ship NLP/LLM solutions integrated into real client workflows. I thrive in ambiguous environments and enjoy collaborating directly with customers to translate needs into measurable impact.

Gonzalo Tomas

AI Engineer, AI Prompt Engineer, Data Scientist, +1

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Hi, I’m Gonzalo Tomas. I’m an AI Engineer & Product Manager based in Madrid. I own end-to-end delivery of production AI systems, from problem discovery and agent/prompt design to development, monitoring and iteration. I have a strong Python engineering background and build reliable services (FastAPI, Pydantic) and ship NLP/LLM solutions integrated into real client workflows. I thrive in ambiguous environments and enjoy collaborating directly with customers to translate needs into measurable impact.…Hi, I’m Gonzalo Tomas. I’m an AI Engineer & Product Manager based in Madrid. I own end-to-end delivery of production AI systems, from problem discovery and agent/prompt design to development, monitoring and iteration. I have a strong Python engineering background and build reliable services (FastAPI, Pydantic) and ship NLP/LLM solutions integrated into real client workflows. I thrive in ambiguous environments and enjoy collaborating directly with customers to translate needs into measurable impact.

Available to hire

Hi, I’m Gonzalo Tomas. I’m an AI Engineer & Product Manager based in Madrid. I own end-to-end delivery of production AI systems, from problem discovery and agent/prompt design to development, monitoring and iteration.

I have a strong Python engineering background and build reliable services (FastAPI, Pydantic) and ship NLP/LLM solutions integrated into real client workflows. I thrive in ambiguous environments and enjoy collaborating directly with customers to translate needs into measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

AI Engineer & Product Manager at PAY CARGO

July 1, 2015 - Present

Built, optimized, and maintained ML models for document classification (improving F1 score from 68% to 91%) using embeddings and NLP techniques on AWS SageMaker. Designed ad operated AI workflow pipelines for document extraction use cases: data validation, failure handling, retry logic and production debugging to keep systems stable under real client traffic. Scoped and delivered end-to-end AI features as acting Product Manager + Engineering lead (3 SW + 2 Product Engineers): wrote specs, defined success metrics, and drove delivery under tight timelines.

Data Scientist & Product Owner at BBVA

September 1, 2022 - June 1, 2025

Built and deployed ML models (e.g., XGBoost classifiers) to detect financial irregularities and forecast customer behavior, improving decision-making efficiency. Developed NLP pipelines for unstructured inbound email workflows using OpenAI embeddings + OCR (AWS Textract) across 20+ mailboxes, cutting manual workload by 40%. Translated business objectives into measurable analytical metrics and model evaluation criteria, aligning technical outputs with operational goals. Delivered stakeholder-facing analytics (Tableau, MicroStrategy, Streamlit) to drive adoption and shorten feedback cycles for iterative model deployment.