Martin Carames-Abente

Led teams (4–7 members) building reference Generative AI RAG solutions for the LatAm AI Implementation Hub, designing model architectures and production pipelines for OpenAI-based applications.

Scaled and integrated Smart Kick Prediction into two global products, led public releases and 5+ POCs for top national oil operators, reducing time-to-market and support costs for RT drilling solutions.

Founded and led the Argentina Data Science practice, delivered national-scale MVPs for real-time kick prediction and geoscience POCs, and taught company-wide data-science bootcamps.

Founded a consulting firm delivering AI, cognitive computing and blockchain strategic solutions to clients, overseeing product and engineering delivery.

Developed core platform components for RSK's Bitcoin-linked smart-contract platform, focusing on protocol and scalability features for merge-mined environments.

Led engineering and product upgrades for Sentilecto, delivering 20+ enhancements that improved semantic capabilities and language-engineering performance for Spanish.

Led a multidisciplinary team and implemented core NLP engine libraries and APIs for Sentilecto, improving named-entity, anaphora resolution, sentiment and fact/opinion mining.

Designed a real-time recommendation engine for video and ad personalization that learned from explicit and inferred user preferences to improve engagement.

Researched and developed social-identity protection and facial recognition solutions, delivering a beta capable of processing tens of images per second for client deployment.

Designed data-mining components to retrieve and automate addition of domain information into the Wolfram Knowledge Base, ensuring consistency and alignment with existing data.

Pursuing a Master of Science in Data Science with expected completion between March 2025 and December 2026.

Studied toward a Licentiate in Computer Sciences with approximately 80% progress before discontinuing enrollment.