10+ years building AI-powered platforms in healthcare and high-stakes tech. Director-level PM with rare hands-on engineering depth — GCP · Azure · HIPAA · ML/AI pipelines. From 0→1 product launches to enterprise scale.
First-ever Director of PM at Theoria Medical — built the PM function from scratch. Owned product vision and multi-year roadmap for AI-powered healthcare recruitment and operational automation. Partnered directly with C-suite to align quarterly OKRs. Led cross-functional agile teams of 10+ engineers, analysts, and QA.
Led cloud infrastructure optimisation across GCP BigQuery and Azure, reducing operational costs by 25%. Built HIPAA-compliant data governance frameworks and scalable API-driven platforms integrating third-party healthcare systems via Apache Airflow.
Designed and deployed scalable ETL pipelines and cloud data infrastructure on GCP and Azure for healthcare operational reporting and analytics. Integrated third-party systems via REST APIs.
Built ML models (XGBoost, Random Forest) to optimise pricing and trading strategies on scalable Azure + MongoDB platforms processing large datasets at one of the world's sharpest sportsbooks. Partnered with quant teams on risk management systems.
Led analytics modernisation for Sales and Marketing, transitioning manual workflows to automated ML pipelines. Delivered predictive sales forecasting supporting financial planning and quota strategy.
Managed full SDLC for embedded systems software. Translated enterprise requirements into technical specs and contributed to patent-generating innovations in hardware-software integration.
HIPAA-compliant AI platform unifying EHR, scheduling, and billing data. Features ML anomaly detection on billing, predictive staffing forecasting, and NLP natural language query interface on top of GCP BigQuery + Vertex AI.
XGBoost and Random Forest pricing engine for sharper odds-setting, margin leakage reduction, and trading desk efficiency at Pinnacle — one of the world's most respected sharp sportsbooks.
Behavioural pattern detection system flagging at-risk bettors via deposit velocity, session length, and bet-sizing anomalies. Automated intervention workflows compliant with EU DGOJ regulations.
CNN-BiLSTM hybrid models detecting depression from ECG signals. Applied STFT spectrogram transformation, Neurokit2 pre-processing, and VGG16/ResNet50 transfer learning.
Automated malaria detection from microscopic cell images using SVM and CNN. Applied transfer learning and image preprocessing pipelines to classify infected vs uninfected cells at scale.
Multi-model classification comparison using XGBoost, Decision Tree, Random Forest, SVM and GLM in R. Applied Boruta and RFE feature selection with 10-fold cross-validation.
Open to senior PM, Head of Product, and AI Product Leadership roles in healthcare tech, iGaming, and data-intensive industries.
Based in Sevilla, Spain — open to remote and relocation.