About Tomás
Tomás is a seasoned NLP Data Scientist with a history of developing AI solutions spanning both academic research and industry applications. He has proven proficiency in architecting and implementing high-performance systems, while collaborating with cross-functional teams. Tomás excels at aligning technological innovations with business objectives. He continuously expands his knowledge to stay current with AI advancements.
Portuguese
Native or bilingual
English
Fluent
Spanish
Fluent
Catalan
Conversational
Remote only
Primarily works remotely
Experience
- Big AiGenerative AI EngineerNovember 2023 - June 2024 (7 months)Phuket, Thailand» Built a multi-modal Retrieval-Augmented Generation (RAG) system for automated production of research. Integrated web search capabilities, custom APIs, and internal data sources to significantly enhance output quality. Deployed periodic reflection mechanisms to ensure continual content relevance and accuracy.» Led company-wide Artificial Intelligence (AI) strategy, defining product portfolio and road-map. Directed AI implementations across departments, aligning technology adoption with business objectives.
- Siemens energyNLP Data ScientistJanuary 2021 - August 2023 (2 years and 7 months)Barcelona, Spain» Led development of a high-performance Optical Character Recognition (OCR) pipeline, capable of processing 1 M+ multilingual documents across 30+ languages and 20+ formats. Architected AWS/Azure multi-cloud solution, managing a cross-functional team of Data Scientists and MLOps engineers.» Engineered a scalable Named Entity Recognition (NER) micro-service for real-time data extraction, reducing manual document search time by 100+ hours annually. Implemented service with modular design for cross departmental re-usability.» Developed Topic Modelling and Search Engine tools, in the context of Research and Development (R&D), for accelerating discovery and visualisation of research papers.» Built a custom Applicant Tracking Systems (ATS) with NLP-powered analytics dashboard, streamlining recruitment processes and providing data driven insights for hiring decisions.» Supervised a Natural Language Query (NLQ) thesis project, interfacing natural language with Graph Databases, and bridging the gap between academic research and industry applications.» Established company-wide Generative AI policies, driving adoption of best practices across teams and positioning the organisation as an AI innovation leader.
- Instituto Superior TécnicoNLP Data Science ResearcherJanuary 2020 - January 2021 (1 year)Lisbon, Portugal» Published peer-reviewed research on Natural Language Processing (NLP), introducing a novel classification framework, and pioneering methods linking Machine Learning (ML) to aviation safety.» Influenced subsequent academic work, driving innovations in minimising aviation incidents through advanced human factors analysis.
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Education
- European study abroad programGhent University2020Scholarship from Erasmus Grants.
- Master's Degree in Intelligent SystemsInstituto Superior Técnico2020
Certifications
- AWS Certified Machine Learning – SpecialtyAmazon Web Services (AWS)2022