Vinícius Ribeiro

Dublin, Ireland

Senior Machine Learning Scientist

Intercom

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Academic Education

Doctor of Philosophy (Ph.D.) - Computer Science, Deep Learning, Speech Production
Multispeech Research Team
Loria, Inria, CNRS, Univ. de Lorraine

Thesis Title: Deep supervision of the vocal tract shape for articulatory synthesis of speech

Extra-curricular activities:

12th Lisbon Machine Learning School - Instituto Superior Técnico, Lisbon, Portugal (July 2022)
4th International School on Deep Learning - Università Politecnica delle Marche, Universitat Rovira i Virgili & IRDTA, Las Palmas de Gran Canaria, Spain (July 2021)

Master of Science - Electrical Engineering, Deep Learning, Computer Vision
Department of Computer Engineering and Industrial Automation (DCA)
School of Electrical and Computer Engineering (FEEC)
University of Campinas (Unicamp)

Dissertation Title: The Impact of Annotation Quality on Deep Learning for Skin Lesion Segmentation
Access here

Extra-curricular activities:

Summer School on Data Science for Document Analysis and Understanding - La Rochelle Université & Inria, France (July 2019)

Bachelor of Science - Electrical Engineering
School of Electrical and Computer Engineering (FEEC)
University of Campinas (Unicamp)

Extra-curricular activities:

Software Engineering Internship - Motorola Mobility, Jaguariúna, Brazil (2015 - 2016)
Linear Analysis Lab Monitor - University of Campinas, Campinas, Brazil (1S2015)
Academic Internship - Czech Technical University, Prague, Czech Republic (Jan - Feb 2015)
Academic Internship - University of Campinas, Campinas, Brazil - Funded by PIBITI/CNPq (2014 - 2015)
President of 3E Unicamp - Junior Enterprise, Campinas, Brazil (2013)

Languages

Portuguese (Native)
English (Fluent)
French (Advanced)

Programming and Informatics

Proven professional experiences with the following technologies

Python
Data Science Frameworks and Tools, e.g., PyTorch, Scikit-Learn, Numpy, others
Cloud Computing, e.g., Amazon Web Services, Google Cloud Platform
SQL, NoSQL and Graph Databases

Professional Experiences

Jan 2024 - Current Senior Machine Learning Scientist - Intercom - Dublin, Ireland

Oct 2020 - Dec 2023 Doctoral Researcher - Loria - Nancy, France

Research focused on articulatory synthesis of speech using deep neural networks on multimodal data
Developed models to process medical images (RT-MRI), articulatory data, and speech
Published state-of-the-art research on international conferences and journals

Aug 2022 - Dec 2022 Research Scientist Intern - Meta AI - New York, USA

At the AI Speech Team, I explored wake word detection and different phonetic alignment approaches for these models. I compared alignment-based and alignment-free, and proposed a hybrid alignment, that mixes the two. My experiments showed alignment-free training outperforms alingment-based for lower FAh levels, while the opposite happens on higher FAh levels. Moreover, when trained with the correct aligned-to-unaligned ratio, the proposed hybrid system obtains the best of the two worlds.

Oct 2018 - Oct 2020 Data Science Specialist - Dasa & Nexa Digital - São Paulo, Brazil

At Nexa Digital (acquired by DASA), I worked as a data scientist in the processing of medical documents using traditional ML and DL models (LSTM, CNN, attention mechanisms). Apart from traditional data science, my work included developing data infrastructure, building high-performance systems and pipelines.

After the M&A, I worked on processing medical images (MRI, X-ray, ultrasound) using deep convolutional networks. Our goal was to improve the clinical daily tasks and patients' well being with artificial intelligence.

Nov 2017 - Oct 2018 Data Science & Analytics - iFood & Rapiddo Delivery - São Paulo, Brazil

At Rapiddo Delivery (acquired by iFood), I worked as a data scientist in the food delivery business. My most significant contribution was the development of a dynamic pricing system based on the supply and demand at any time. As a result, the system enabled a positive margin in the largest city that we operated for the first time.

After the M&A, I worked as a data scientist in the logistics team. I also led and launched our mPOS system, one of our most strategic projects in that year. I was responsible for dealing with suppliers, the tech team, and other stakeholders. As a result, I was the main responsible for increasing our demand by 30% in all cities we launched.

May 2016 - Nov 2017 Junior Software Engineer - Eldorado Research Institute - Campinas, Brazil

At Eldorado, I worked at an international project for Motorola Mobility. We were responsible for developing software automation tools to help the engineering teams to be more productive. As a software engineer, I worked mainly with Python at a team with people from the US, Brazil, and India.