TDC CONNECTIONS
Building Software in the Connected World

AI specialist and mentor, a senior software engineer, and a technology community leader. Eyal started his software engineering career as a pioneer in the field of VoIP, and is currently a member of the data platform team at Gradle, working on the ML-based predictive test selection. Eyal leads the Jacksonville (FL) Java user group as well as the Enterprise AI user group, and writes the developer-oriented blog 'ai4java'. He is the author of the book 'Hands-On Genetic Algorithms with Python'.

I'm a Brazilian that loves learning about new cultures and languages. I've been raised in Brazil, studied part of my university in the USA and currently work in London. I've been a developer for 4 years, then a software architect for 4 more years until I finally move into a team lead role, 3 years ago. My main interests in IT are: leadership and AI, because I love how technology can make our lives simpler.

Head of Data na TIVIT, professor de MBA nos cursos de Cyber Security e Data Science na FIAP, bem como community manager na AI Brasil. Apaixonado por psicologia e inovação em geral, possui mestrado em Engenharia Elétrica pela Universidade Presbiteriana Mackenzie (UPM) e doutorado em Engenharia Elétrica e Computação pela mesma instituição. Suas linhas de pesquisa atuais envolvem Deep e Reinforcement Learning, Algoritmos Generativos, Visão Computacional, gerenciamento de equipes e criação de metodologias voltadas para o desenvolvimento em Dados e IA.

Especialista em inteligência Artificial na Avanade do Brasil,formada em tecnologia em redes de computadores, especialista em desenvolvimento de software a mais de 12 anos, pós graduanda em machine learning e deep learning , coordenadora e palestrante no The Developers Conference nas ediçòes 2018 e 2019 na trilha de inteligência artificial , community manager no AI Brasil, AI Brasil Girls e Developers BR

Guto Maia deixou de lado os títulos de certificação e abdicou das nomenclaturas superlativas como de Desenvolvedor e Arquiteto. É Programador por definição, traduz da linguagem ao código de máquina. É pesquisador de paradigmas e linguagens de programação, principalmente em plataformas clássicas como o 6502, Z-80 e o 68k.

Strengthening teams & making them accelerate using technologies at hand, while working as a polyglot software developer. Working closely with founders, CTOs, tech & research teams, building & delivering working and maintainable software & tooling. With over 15 years of experience as a software developer following software development principles & methodologies like BDD and TDD when writing code. Strongly advocating software craftsmanship principles and practices wherever possible and applicable.

I have over 15 years of experience working in the IT industry. Currently, I work as a Software Architect at Eldorado Research Institute, working on innovating projects in Distributed Systems and Data Science; also, I am a Ph.D. student in Biotechnology Brasilia Catholic University with a specialization in Bioinformatics.

Previously, I worked for private companies and public service, designing solutions from the house and building automation to transparency web portals for Tocantins government state.

Frank Greco is a Java Champion, senior architect, and frequent writer/blogger/speaker/conference-chair. He is the Chairman of the NYJavaSIG (8.5K+ members), the largest (and first) Java User Group in North America, and has a deep understanding of developer communities. Co-author of JSR 381 Visual Recognition for Java. My goal is to excite, inspire and educate technologists, software developers, and organizations on cutting-edge trends and tech. Other goals include improving my mediocre guitar playing, bad gardening, and poor fisherman talents.

Manu Joseph is a Lead Data Scientist at Thoucentric, where he leads the Deep Learning Practice. He has worked in the industry for more than 8 years in a wide variety of roles ranging from Software Engineer to Supply Chain consultant and finally as Data Scientist. His primary research interests lie in applying Deep Learning for Time Series Forecasting and Natural Language Processing. He is also passionate about learning and spreading knowledge and writes in his own blog at https://deep-and-shallow.com/.

Always thinking, always learning, Matthew Emerick is a lifelong learner who is passionate about every aspect of artificial intelligence, from cognitive science to machine learning. He firmly believes that AI is the future of humanity and that we all need to better understand it, what it is capable of, and how it affects us. He supports AI literacy and education at all levels and always looks to fight the overly negative and positive hype. In his professional life, he is building an AI education website for anyone at any level to learn any aspect of artificial intelligence. He also enjoys spending time with his very young son and seeing him grow, traveling with his wife to explore the world, and completing escape rooms with friends.

Nina is a Data Scientist at Thomson Reuters (TR) Labs. She holds a BSc in Computer Science from the University of Glasgow, Scotland.

As part of her role at TR she has worked on a wide range of projects applying ML and DL to NLP problems driving innovation and incorporating a customer first mindset. Her current focus is on abstractive summarization of legal text and custom named entity extraction.

Outside of work she continues to spread the love for NLP as a Co-organizer of the NLP Zurich Meetup. And as a hobby Nina volunteers as a volleyball coach.

A specialist in data science, machine/deep learning. Currently a senior lecturer at the university of London as part of their online MSc Data Science course. Also, an international lecturer, speaker and instructor with OReilly Media (https://www.oreilly.com/search/?query=author%3A%22Noureddin%20Sadawi). Founder and managing director of SoftLight Ltd (https://www.softlight.tech).

Moved by curiosity, I'm an entrepreneurial scientist who seeks to improve people's lives through Artificial Intelligence solutions.

I'm Data Scientist at CI&T and Google Cloud Certified as Professional Data Engineer. I'm also speaker, coordinator and organizer in academic and business conferences..

Specialties: Python, TensorFlow, Google Cloud and Teaching (People and Machines).

Main researches and interesses: Fairness in Machine Learning, Reinforcement Learning, Transformer (Attention), Generative Adversarial Network, Few-shot Learning and Memory-Augmented Neural Network.

Entusiasta das áreas de Machine Learning, Big Data e Analytics desde 2018, é formado em Análise e Desenvolvimento de Sistemas, começando a trabalhar efetivamente nestas áreas após ingresso na pós-graduação em Big Data & Analytics e ingresso no Instituto de Pesquisas Eldorado como Analista de Software. Possui longa experiência no desenvolvimento de software, com qualificações em SAP, Scrum e Análise e Desenvolvimento de Sistemas em todas as camadas.

Sam Agnew is a developer evangelist at Twilio based out of New York City. He loves fast guitar solos, hacking old video games, using Python in fun and creative ways, and empowering developers to use their skills to better their communities.