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Director of Data & Intelligence
Technology professional with a solid international career in Data, Artificial Intelligence, and Systems Engineering, having served as Director and Senior Manager in global companies across software, digital retail, and digital transformation. Specialist in Big Data, Machine Learning, and cloud platforms (AWS, GCP, Databricks), with experience in building data products adopted by thousands of corporate and government clients, always in compliance with international security standards (SOC 2, ISO 27001, GDPR, and FedRAMP). Recognised for leading high-performance teams in multicultural environments (Australia, India, USA, and Brazil), developing engineers and leaders, and for aligning technology, data, and analytical intelligence with strategic business goals, driving operational efficiency, innovation, and improved customer experience. Throughout his career, delivered significant results, such as modernising cloud data platforms with 30% cost savings, developing Atlassian Data Lake and Atlassian Analytics, and implementing AI-based fraud detection models and recommendation systems at iFood. Master’s in Complex Systems at the University of Sydney (in progress) and Bachelor’s in Physics from Unicamp. Fluent in English.
University of Sydney
Master's degree, Complex Systems
January 1, 2023 – June 1, 2026
Universidade Estadual de Campinas
Bachelor's degree, Physics
February 1, 1998 – June 1, 2005
Universidade Estadual de Campinas
Bachelor's degree, Physics
January 1, 1998 – February 1, 2005
Universidade Estadual de Campinas
Bachelor, Physics
January 1, 1998 – January 1, 2004
Fundação Bradesco
Technical High School, Data Processing
January 1, 1994 – January 1, 1997
Pipefy
Director of Data & Intelligence
January 1, 2026 – Present
São Paulo, Brazil · Hybrid
Pet Circle
Director, Data & Analytics
July 1, 2023 – July 1, 2025
Sydney, New South Wales, Australia · On-site
Atlassian
Senior Engineering Manager, Data Products Platform
January 1, 2021 – July 1, 2023
Atlassian
Senior Engineering Manager, Search & Smarts
November 1, 2018 – January 1, 2021
iFood
Head of Machine Learning
February 1, 2017 – October 1, 2018
Campinas, São Paulo, Brazil · On-site
CI&T
Head of Machine Learning at CI&T
September 1, 2012 – February 1, 2017
On-site
CI&T
Systems Architect
February 1, 2009 – September 1, 2012
On-site
PST Electronics
Software Development Manager
March 1, 2007 – January 1, 2009
Campinas, São Paulo, Brazil · On-site
Policamp
Assistant Professor
January 1, 2006 – December 1, 2007
Campinas, São Paulo, Brazil · On-site
Fissore Consultoria e Assessoria Tecnico-Cientifica S/C Ltda
Fellow Researcher
June 1, 2002 – May 1, 2005
Campinas, São Paulo, Brazil · On-site
Kaffa Software Consulting
Co-Founder
February 1, 2001 – March 1, 2007
Campinas, São Paulo, Brazil · On-site
Centro de Computacao da Unicamp - CCUEC
Intern Software Developer
October 1, 2000 – May 1, 2001
Campinas, São Paulo, Brazil · On-site
LNLS
Undergraduate Researcher
September 1, 1999 – September 1, 2000
Campinas, São Paulo, Brazil · On-site
TeleDesign Servicos e Comercio de Telecomunicacoes LTDA
Intern Software Developer / Webmaster
October 1, 1996 – June 1, 1997
Campinas, São Paulo, Brazil · On-site
D1 - SmartCanvas
January 1, 2014 – Present
CI&T SmartCanvas
MSE VAS Integration Platform (old MDS)
May 1, 2003 – Present
A critical business platform of the mobile carrier network, used to connect all SVA application providers to the carrier's services, such as SMS, Simcard, MMS, WapPush, Credit Check and Billing.
Google BigQuery Qualified Developer
June 24, 2026 – Present
SAP Certified Development Consultant SAP NetWeaver 2004 Web Application Development Focus JAVA.
SAP
June 24, 2026 – Present
Sun Certified Enterprise Architect
Sun Microsystems
June 24, 2026 – Present
Statistics: Making Sense of Data
Coursera
June 24, 2026 – Present
Introduction to Artificial Intelligence
Udacity
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Introduction to Recommender Systems
Coursera Course Certificates
June 24, 2026 – Present
Computing for Data Analysis
Coursera Course Certificates
June 24, 2026 – Present
Google Cloud Storage Qualified Developer
June 24, 2026 – Present
Google App Engine Qualified Developer
June 24, 2026 – Present
Cypher Fundamentals
Neo4j
June 24, 2026 – Present
Google Cloud SQL Qualified Developer
June 24, 2026 – Present
Google Compute Engine Qualified Developer
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera Course Certificates
June 24, 2026 – Present
Getting and Cleaning Data
Coursera Course Certificates
June 24, 2026 – Present
edX Verified Certificate for Introduction to Big Data with Apache Spark
edX
June 24, 2026 – Present
edX Verified Certificate for Scalable Machine Learning
edX
June 24, 2026 – Present
Big Data XSeries
edX
June 24, 2026 – Present
edX Verified Certificate for Introduction to Apache Spark
edX
June 24, 2026 – Present
Graph Data Modeling Fundamentals
Neo4j
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various companies (Pipefy, Pet Circle, Atlassian, iFood, CI&T) and roles (Director, Engineering Manager, Head of ML, Systems Architect, Co-Founder) indicates adaptability and a broad understanding of different organizational cultures and challenges. Their continuous pursuit of advanced certifications in Big Data, Machine Learning, and Cloud technologies, along with a Master's degree in Complex Systems, shows a strong commitment to continuous learning and staying at the forefront of technology. The emphasis on AI agents and semantic layers in their current role suggests an innovative mindset that would thrive in a forward-thinking, tech-driven culture. The candidate's background in physics and complex systems provides a unique analytical perspective.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight strong leadership, strategic planning, and the ability to drive cultural transformation around data. Their involvement in major incident management at Atlassian suggests excellent stress handling and operational resilience. The focus on building AI-native data platforms indicates a forward-thinking and innovative approach, which aligns well with dynamic, high-growth environments. The candidate's ability to lead large, distributed teams (45+ professionals) demonstrates strong organizational and people management skills.