Research Publications

Conference Paper

Marvin — Open Source Artificial Intelligence Platform

PAPIs.io (Predictive APIs and Apps) Oct 2017

Lucas B. Miguel, Daniel Takabayashi et al.

Presents the Marvin AI platform's approach to simplifying ML application development. Covers the path from exploratory data science models to production-ready systems.

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Conference Paper

BooViews: Aspect-based Sentiment Analysis on Product Reviews

PROPOR (International Conference on Computational Processing of Portuguese) Jul 2016

Guilherme Nobre, Daniel Takabayashi et al.

Combines SVM and CRF techniques for aspect-based sentiment analysis in Portuguese product reviews. Achieved 91.7% precision in sentiment classification, 74.2% F1-score in aspect extraction, and 79.9% precision in aspect polarity detection.

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Workshop Paper

Preprocessing Images to Improve Deep Neural Networks Classification

XI Workshop de Visao Computacional (WVC) Oct 2015

Daniel Takabayashi et al.

Research on image augmentation and CNN optimization techniques for e-commerce product classification. Explores preprocessing methods that improve deep neural network accuracy for visual recognition tasks.

Speaking Engagements

TDC — The Developer's Conference Brazil

"The Future of AI is Event-Driven: Building Reactive and Scalable Multi-Agent Systems"

2025

Talk on event-driven AI architectures, multi-agent systems on Apache Flink, and the convergence of streaming data with GenAI

Austin Python Meetup

"MCP 101 — Model Context Protocol for Agentic AI"

2025

Hands-on demo of MCP server implementation with Trello integration, showing event-driven agent patterns to the Python community

Confluent Internal Enablement — AI in Action

"AI in Action: From Rules-Based to Reasoning-Based AI"

2025

Internal enablement session covering the evolution of AI, real-world applications, and implications for Solutions Engineering

Apache Conferences

"Marvin AI — Apache Incubator Project"

2017-2018

Presented on the Marvin AI platform architecture, open-source ML tooling, and lessons from Apache Foundation incubation

QCon

"Machine Learning Platforms at Scale"

2017-2018

International presentation on scalable ML platform architecture and production-grade ML systems

PAPIs (Predictive APIs)

"From Exploratory Models to Production"

2017

Paper presentation on Marvin AI platform and deploying ML models at scale in production environments

SEI Saturn Conference

"Software Architecture for ML Systems"

2017-2018

Presented on architectural patterns for machine learning systems, quality attributes, and scalable ML infrastructure

Mentorship & Community

Confluent AI Startup Accelerator

Mentor (2024-Present)

Mentored technical founders on using Confluent AI products, building event-driven AI architectures, and shipping streaming AI solutions.

Founder Institute

Mentor (2019-2021)

Mentored early-stage startup founders on technical strategy, product development, and engineering team building

Cotidiano Startup Accelerator

Mentor (2018-2022)

Guided startup teams on technology choices, scalable architecture, and AI/ML product development

Podcast

Act4AI // Portuguese (Brazil)

A Portuguese-language podcast where we interview AI/ML specialists, PhDs, and industry leaders about the real impact of artificial intelligence on software development and careers.

Co-hosted with Danilo Favoratti

Machine Learning, Open Source e Startups: A Jornada de André Natal

André Natal — ML Engineer, 20+ years (Mozilla, Silicon Valley)

Feb 2025 1h 31m

Career journey from Brazil to Silicon Valley, AI, NLP, open source, and market impact

Listen on Spotify

Superando Limites com IA: A Jornada de Alexandre na Microsoft

Alexandre — Solutions Architect, Microsoft

Nov 2024 1h 21m

GitHub Copilot, accessibility, how AI transformed his personal and professional life

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Desvendando a caixa-preta da Inteligência Artificial

Erick Maziero — PhD, ML Engineer specializing in NLP

Aug 2024 1h 28m

Large language models, ChatGPT, generative AI, and AI hallucinations

Listen on Spotify