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Tomás in wenigen Worten
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.
Projekt- und Berufserfahrung
- Big AiGenerative AI EngineerNovember 2023 - Juni 2024 (7 Monate)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 ScientistJanuar 2021 - August 2023 (2 Jahre und 7 Monate)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 ResearcherJanuar 2020 - Januar 2021 (1 Jahr)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.
2 externe Empfehlungen
KH
MA
Karel Hovorka und 1 weitere Person empfehlen Tomás
27.9.2024
"I had the pleasure of working with Tomás for a few months. Although we never met in person, communication with him was always concise, to the point, and very constructive. He is a true professional and delivered everything he was supposed to without any trouble."
27.9.2024
I worked together with Tomas for two years in Siemens Energy as data scientists, Tomas is an exceptional data scientist with a passion for learning, he managed to learn so many cloud technologies and data science applications in such a short period of time.
Althought his expertise is profound Natural Language Processing (NLP), he also have great knowledge in other areas like time series analysis and forecasting.
Tomas's strong communication skills fostered a collaborative environment, making our projects enjoyable and successful. I highly recommend him as a valuable asset to any organization seeking a dedicated and versatile data scientist.
Althought his expertise is profound Natural Language Processing (NLP), he also have great knowledge in other areas like time series analysis and forecasting.
Tomas's strong communication skills fostered a collaborative environment, making our projects enjoyable and successful. I highly recommend him as a valuable asset to any organization seeking a dedicated and versatile data scientist.
Ausbildung und Abschlüsse
- European study abroad programGhent University2020Scholarship from Erasmus Grants.
- Master's Degree in Intelligent SystemsInstituto Superior Técnico2020
- South America study abroad programInstituto Tecnológico de Buenos Aires2019Merit scholarship from Santander Universities.
Zertifizierungen
- AWS Certified Machine Learning – SpecialtyAmazon Web Services (AWS)2022