Led a team of 5 engineers (backend - Django, frontend - React) within the Benefits & Administration Product Squad, delivering scalable solutions that streamlined health insurance policy ingestion and administration.

• Collaborated closely with the Product team to refine user stories, define technical specifications, and prioritize development tasks.
• Architected and developed scalable solutions to optimize the ingestion and processing of health insurance policies.
• Provided technical leadership, code reviews, and mentorship to developers, fostering best practices in software engineering and agile methodologies.
• Ensured seamless integration between frontend (React) and backend (Django), improving system efficiency and user experience.

Led a team of 4 data scientists specializing in customer calibration for LATAM projects, bridging data science and full-stack development to drive business impact.

• Designed and fine-tuned Spanish-language LLMs for extracting insights from health claims data.
• Automated claims review and fraud detection for LATAM insurers.
• Acted as a pre-sales expert, leading data workshops to support client acquisition.
• Managed on-site client engagements across LATAM for Claims Automation and FWA solutions.
• Collaborated with the product team to refine Qantev’s platform based on domain insights.

Member of the Claims Management Squad, working to automate the treatment of health insurance claims using AI algorithms.

• Built ML models for medical document classification and OCR-based information extraction.
• Developed custom NER models to extract relevant data from clinical records.
• Led technical sales demos for prospects across LATAM, EMEA, US, and APAC.
• Deployed Qantev automated claims solution for LATAM customers with direct client interaction.

Part of the intelligent maintenance department at Talgo, driving predictive maintenance for high-speed trains with over €1M impact.

• Developed anomaly detection models to predict train component performance.
• Built dashboards and enforced coding guidelines for internal use.
• Worked in GCP using BigQuery, VertexAI, Kubeflow pipelines, and Python libraries (TensorFlow, Scikit-Learn, Pandas).

Built Deep Learning-based CV and NLP models to classify fashion products for 10+ e-commerce retailers.

• Delivered a smart tagging API that improved product categorization.
• Built models using TensorFlow, Scikit-Learn, OpenCV, and InceptionV2.
• Handled 400M+ item datasets on AWS, using SQL and Django ORM for backend work.