Curriculum Vitae

João Victor Dias

CTO at WingsAI | PhD Candidate | AI Expert

João Victor Dias
Quick BIO

Perfil Profissional

João Victor Dias é co-fundador e CTO da WingsAI, onde implementa soluções de IA vertical no Brasil e Estados Unidos. Também atua como consultor tecnológico do Conselho Brasileiro de Oftalmologia e está cursando doutorado em Ciências Médicas Oftalmológicas.

Tem experiência na criação de equipes de Data Science, liderando-as e ensinando novos gerentes/diretores como torná-las bem-sucedidas. Também ajuda a salvar equipes e áreas de dados/analytics de problemas sérios.

Com mais de 12 anos de experiência em inteligência artificial, João liderou com sucesso equipes em bancos de investimento e hospitais. Especializa-se na implementação de soluções de IA de ponta—particularmente em visão computacional e processamento de linguagem natural—e contribuiu para projetos em finanças, crédito privado, saúde e varejo, entre outros setores.

Experiência

Experiência Profissional

CTO

AEO Brasil [07/2025-Present]
  • • Liderança tecnológica da comunidade
  • • Estratégia de transformação digital
  • • Inovação em soluções corporativas

CTO

Wings AI [02/2025-Present]
  • • Vertical AI
  • • Built MicroSaaS Leverage
  • • International Expansion

Data & Analytics Management

iFood Pago [07/2024-02/2025]
  • • Management of transactional data ingestion into the Data Lake using AWS DMS, S3 and PySpark
  • • Continuous optimization of Data Lake jobs with AWS EMR and Glue
  • • Creation of interactive dashboards for general analysis, anti-money laundering (AML) and fraud detection

Senior Vice President of Data Science and Analytics

Captalys [08/2020-10/2022]
  • • Structured the areas and set up the Analytics, BI, Data Science, Portfolio Monitoring and Data Engineering teams
  • • Led the transformation of the company into an AI-Ready company
  • • Implemented: the Data Lake, the Machine Learning model deployment environment, GraphQL to unify the API queries and the models documentation
  • • Designed systems focused on scale, reproducibility and automation
  • • Our teams provide world-class products

Lead Data Scientist

NTT DATA [08/2019-07/2020]
  • • Planned and executed large data science projects
  • • Organized the career development of the Data Scientists at the company
  • • Participated in management meetings to help establish data roadmap and strategies
  • • Built a great team by both recruiting great talent and helping them grow
  • • Implemented DataPrivacyOps with Federated Learning, Differential Privacy and Multi-party Computation

Statistical Analyst

Fundação Getúlio Vargas [01/2014-12/2015]
  • • Created the sentiment analysis model for political debate in social media
  • • Developed a spam filtering machine learning model applied to text data and Twitter account attributes
  • • Co implemented social network graphs framework, which illustrated major national and international newspapers, covers such as the Financial Times
  • • Co implemented a Bayesian spatial model using Twitter data applied on calculating ideological ideal points for legislative actors in Brazil

Consultor de Tecnologia

Conselho Brasileiro de Oftalmologia [09/2024-Present]
  • • Consultoria em soluções tecnológicas
  • • Desenvolvimento de diretrizes de IA
  • • Suporte estratégico em inovação

Head of Data & Analytics

Zoop [11/2022-07/2024]
  • • Datalake expansion
  • • Built Data Products
  • • Data Contracts, Data Quality

StartupMentor

Bluefields Aceleradora [05/2019-Present]

Artificial Intelligence Mentoring.

Head of Artificial Intelligence

IA para Médicos [06/2018-Present]
  • • Editor of Artificial Intelligence Futurism news applied to Medicine
  • • Workshops about productionizing AI projects

Artificial Intelligence Coordinator

GeekVision - Clinical Hospital, University of São Paulo [05/2017-Present]
  • • Supports AI innovation at University of São Paulo's Ophthalmology Clinics Hospital
  • • Implemented Convolutional Neural Networks to assist low vision patients on identifying chosen elevators
  • • Developed an Eye Drops Identifier with RetinaNet
  • • Implemented Dashboards integrated with non relational databases to structure clinics data and deliver on a mobile solution
  • • Developed a Dry-Eye disease solution with Neural Networks on Smartphones

Data Scientist

NTT DATA [08/2017-08/2019]
  • • Coordinated NTT DATA Machine Learning Community Americas
  • • Led the Data Science team on publishing research papers
  • • Spread AI culture and helped attracting more talent to the company
  • • Supervised Neural Networks architecture framework implementation
  • • GAN architectures for data augmentation
  • • Automatic documents classification with ELMO + BI-LSTM + CNN + CRF
  • • Developed a hybrid model for Automated Offline Handwritten Signature Verification on checkbooks using Convolutional Networks
  • • Stock price estimation using LSTM + Attention
  • • Object Detection, Recognition and Segmentation
  • • Face Recognition, Alignment and De-identification
  • • Developed a pedestrian tracking surveillance on Raspberry Pi 3
  • • Developed a Retrieval-based banking chatbot on Facebook Messenger with Tensorflow

Statistician

NIC.br [01/2016-08/2017]
  • • Developed an automated and optimized system focused on enduring brazilian´s complex Internet Traffic Measurement System database
  • • Implemented prototypes of Disclosure Control Methods for MicroData databases

Trainee

Fundação Getúlio Vargas [2013-2014]
  • • Developed a social Twitter bots identifier through NLP methods and model ensembling
  • • Co implemented social network graphs framework using Gephi and R packages
  • • Created R Shiny visualisations for Urban Mobility

Co Founder

estatisti.CO [12/2012-12/2013]

At 2012 he co-founded www.estatisti.co, a statistics based website focused on establishing a place where people could stay informed about the latest news, tips on career, Big Data, theoretical statistics, scientific articles, biographies, job opportunities, among other issues. It quickly became one of the brazilians most famous statistics website.

External Journalism Operator

Rede Globo [07/2008-09/2009]

Acted in aid of adjustment of satellite signals from mobile units of telejournalism, color correction, equipment assembly and lighting for journalism outdoors production.

Competições

Kaggle
  • 148th of 2023 - PetFinder.my Adoption Prediction BRONZE MEDAL
  • 1776th of 9038 - Santander Customer Transaction Prediction
  • 666th of 3835 - Mercedes-Benz Greener Manufacturing
  • 838th of 2931 - APTOS 2019 Blindness Detection
Hackathons e Desafios
  • Gold Medal - OftalmoHack Hackathon, FMUSP (2025)
  • AI Mentor - HackHealthTech (2021)
  • Global Finalist - NTT DATA Hackathon (2018)
  • Semifinalist - Data For Climate Action, UN Global Pulse (2017)
  • Rio de Janeiro Semifinalist - SEBRAE Challenge (2012)

Membro de Grupos Temáticos

AI For Health: Artificial Intelligence for Ophthalmology

I.T.U./W.H.O. [09/2019-11/2022]
Educação

Formação Acadêmica

Universidades

InstituiçãoCursoAno
University of São Paulo, Medical School(FMUSP-HC)PhD in Ophthalmological Medical Sciences2024-2029
University of Mannheim [Incomplete]MS in Survey and Data Science2019
National School of Statistical SciencesB.S. in Statistics2010-2015
State Technical School Henrique LageElectronics Technician2007

Habilidades Técnicas

Computer Vision Predictive Modelling Machine Learning LLMs Team Coordination Data Visualisation

Atividades Adicionais

AtividadeInstituiçãoAno
Focus Group - Curso Técnico em Ciência de DadosSecretaria de Educação do Estado de SP2024
Aluno Especial - Análise de AlgoritmosUniversidade de São Paulo2016

Ferramentas

PyTorch Tensorflow Scikit-Learn Keras SciPy NumPy NLTK Unix Git Raspberry Pi Transformers Agile Gephi OpenCV

Idiomas

  • Portuguese [Native]
  • English [Fluent]
  • Spanish [Beginner]
  • Japanese [Beginner]

Certificações

TítuloProvedorAno
Treinamento Turnitin AutochecagemTurnitin2025
AI for EveryoneCoursera2019
Survey Skills Development CourseBrazilian Institute of Geography and Statistics2016
Big Data in HealthcareCoursera - University of São Paulo2015
Laboratório - RJFundação Estudar2015
Machine LearningCoursera - Stanford University2014
The Data Scientist's ToolboxCoursera - Johns Hopkins University2014
Practical Machine LearningCoursera - Johns Hopkins University2014
Data Analysis with RUdacity - Johns Hopkins University2014
Statistical Methods for Disclosure ControlBrazilian Institute of Geography and Statistics2012

Bolsas de Pesquisa

TítuloProvedorAno
Milu Villela grant ($ 500 USD)TVST2021
Knights Templar Eye Foundation Travel Grant ($ 1,110 USD)ARVO2020
Tools for Formatting and Validation of Research MicrodataCNPq PIBIC2012
Mídia

Reconhecimentos e Publicações

Prêmios

Most Valuable Professional

NTT DATA, 2018

TOP 46 - Valuable Young Leader

Harvard Business Review, 2018

Survey Skills Development Course

IBGE, 2017

Relatórios de Pesquisa

TítuloInstituiçãoAno
Strabismus and Artificial Intelligence App: Optimizing Diagnostic and AccuracyTVST2021
A polícia e os 'black blocs'. A percepção dos policiais sobre junho de 2013FGV/DAPP2014
Mobilidade urbana e cidadania: percepções dos usuários de transporte público no BrasilFGV/DAPP2014

Imprensa

Podcast: How AI is Rapidly Accelerating the Growth of Small Businesses

Rede Tela, 2025

Podcast: The Future is Here! Is Your Company Ready for AI?

Rede Tela, 2025

How do data driven companies monetize their data?

Chief Data & Analytics Officer Brazil, 2021

Podcast: What is A.I.?

IPP - Radio Pinheiros, 2019

Grandes artistas na oftalmologia

Revista Universo Visual, 2018

What does a Statistician do?

Rádio Família 104.5fm, 2013

Livros Publicados

TítuloAno
ICT IN HEALTH 20162017
ICT IN HEALTH 20152016
ICT HOUSEHOLDS 20162017
ICT HOUSEHOLDS 20152016
ICT ENTERPRISES 20152016
ICT IN EDUCATION 20162017
ICT IN EDUCATION 20152016
ICT KIDS ONLINE BRAZIL 20162017
ICT KIDS ONLINE BRAZIL 20152016
ICT NONPROFIT ORGANIZATIONS 20162017
ICT IN CULTURE 20162017
CULTURA E TECNOLOGIAS NO BRASIL2017
ICT ELECTRONIC GOVERNMENT 20152016
ICT PROVIDERS 20142015

Redes Sociais

Atividades Acadêmicas

Conferências, Palestras e Ensino

Conferências

TítuloConferênciaAno
Invited Session - Offline Signature Recognition with Machine Learning11th IASC-ARS Conference2019
Tools for Formatting and Validation of Research Microdata21º SINAPE2014

Palestras e Painéis

Webinar: The New Lean Startup

FIAP, 2025

Webinar: What's Coming and What's Already Reality in Medical Offices

BRASCRS, 2025

Panel: AI and the Future of Ophthalmology

OftalmoHack, 2025

Talk: The History of Artificial Intelligence

XXXI International Symposium of Ophthalmology, 2025

Panel: AI in Business and Purpose-Driven Work

Igreja Butantã, 2025

Risks and Opportunities for Privacy and AI Marketing

Jacto, 2024

Data Privacy Ops and GDPR

CIAB, 2020

AI for Strabimus

ARVO, 2020

Tracking Systems for Banking Sector

CIAB, 2018

IX International Life Sciences Institute Congress

ILSI, 2018

Congressos

Congresso Brasileiro de Oftalmologia 2024 - Brasília CBO, 2024

Congresso de tecnologia da informação para instituições financeiras CIAB, 2018

60th ISI World Statistics Congress ISI, 2015

Simpósios

Inovações e I.A. em Oftalmologia XXXI SIOJT, 06/2025

Uso de I.A. para o desenvolvimento de ferramentas diagnósticas para avaliação de pacientes com Orbitopatia Distireodiana USP Eye Research Symposium, 09/2024

Web Scraping as a alternative data sources to predict E-Commerce indicators StatCan International Methodology Symposium, 2018

Workshops

Coordinated WetLab - Development of Artificial Intelligence Models

Brazilian Congress of Ophthalmology, 2025

Intro to LLMs and RAGs - 7th Week of Scientific Initiation

IBGE, 2024

No Code AI

XIII SBO, 2022

DRY AI - A mobile app to assist physicians on assessment of dry eye

ARVO Learn, 2019

VII NIC.br Annual Workshop on Survey Methodology

NIC.br, 2017

VI NIC.br Annual Workshop on Survey Methodology

NIC.br, 2016

Seminários

AI, Privacy and Open Banking

Bradesco Innovation Day, 2020

Meetups

Reproducing papers and evaluating benchmarks in the pre-training of Language Models in Portuguese Santander Meetups, 2019

DataOps Frameworks Itaú Meetups, 2019

Ensino

Vertical AI in Marketing ESPM, 2025

Vertical AI Mackenzie University, 2025

Telemedicine applied to Ophthalmology FM-USP, MOF-5770-31, 2024/03/14

AI in scientific research. For PhD students only FM-USP, MOF-5741, 2024/10/02

Innovation Class in Ophthalmology: How to train your algorithm USP HC, 2023

Introduction to Neural Networks Captalys, 2021

Innovation Class in Ophthalmology: ML for Physicians USP HC, 2020

Statistical Power for Data Scientists NTT DATA, 2019

Innovation Class in Ophthalmology: How to train your algorithm USP HC, 2019

The Grammar of Graphics NTT DATA, 2019

Data Visualization with Python and R NTT DATA, 2019

Introduction to Neural Networks NTT DATA, 2018

Machine Learning Hands-On NTT DATA, 2018

Convolutional Neural Networks NTT DATA, 2018

Introduction to TensorFlow Mackenzie, 2017