Petrópolis, Brazil

Fábio André Machado Porto


Average Co-Inventor Count = 4.9

ph-index = 2

Forward Citations = 16(Granted Patents)


Location History:

  • Petropolis, BR (2020)
  • Petrópolis, BR (2019 - 2021)

Company Filing History:


Years Active: 2019-2021

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5 patents (USPTO):Explore Patents

Title: Fábio André Machado Porto: Innovator in Data Processing Technologies

Introduction

Fábio André Machado Porto is a notable inventor based in Petrópolis, Brazil. He has made significant contributions to the field of data processing, holding a total of 5 patents. His work focuses on enhancing data discovery and integration techniques, which are crucial in today's data-driven world.

Latest Patents

Fábio's latest patents include innovative methods for automatic indexing of relevant domains in a data lake for data discovery and integration. This method involves obtaining data files from a data lake, selecting candidate fields based on record types, and determining relevance scores for each candidate field. The process clusters scored candidate fields into similar domains, allowing for efficient data integration. Another significant patent addresses dataflow execution time estimation for in-memory distributed processing frameworks. This method estimates execution times for data units processed in distributed systems, enhancing the efficiency of data operations.

Career Highlights

Fábio is currently employed at Emc IP Holding Company LLC, where he continues to develop cutting-edge technologies in data processing. His expertise in the field has positioned him as a key player in advancing data integration methodologies.

Collaborations

Fábio has collaborated with talented individuals such as Yania Molina Souto and Vinícius Michel Gottin, contributing to various projects that push the boundaries of data processing technologies.

Conclusion

Fábio André Machado Porto's innovative work in data processing and integration showcases his commitment to advancing technology in meaningful ways. His contributions are vital in addressing the challenges of data management in modern applications.

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