Rui Vaz

Software Engineer

San Carlos, California, United States15 yrs 10 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Big Data and SDN technologies.
  • Proven track record in spam detection algorithms.
  • Strong background in software engineering and data mining.
Stackforce AI infers this person is a Software Engineering Manager with expertise in Big Data and Networking.

Contact

Skills

Core Skills

Big DataSdnData MiningEvolutionary Computation

Other Skills

Text MiningPredictive AnalysisTrend DiscoveryAutomated TaggingOpen vSwitchXen Cloud PlatformSpam Detection AlgorithmsCollaborative FilteringRapidMinerWekaJavaEvolutionary AlgorithmsMachine LearningEclipseLinux

Experience

15 yrs 10 mos
Total Experience
4 yrs 1 mo
Average Tenure
12 yrs 1 mo
Current Experience

Apple

3 roles

Software Engineering Manager

Promoted

Sep 2022Present · 3 yrs 8 mos

Senior Software Engineer

Sep 2018Sep 2022 · 4 yrs

Software Engineer

Apr 2014Sep 2018 · 4 yrs 5 mos

Cisco systems

2 roles

Software Engineer

Promoted

Mar 2013Mar 2014 · 1 yr

Software Engineer Intern

May 2012Mar 2013 · 10 mos

  • Big Data: Working with Social Media Marketing team to leverage social media data into actionable sales and competitor insights for Cisco. Performing text mining for predictive analysis, trend discovery and automated tagging of conversations.
  • Fog Computing: Worked on a research project in Advanced Architecture Research
  • (AAR) Group. My tasks were to benchmark Open vSwitch in Xen CP with nox and beacon controllers in different scenarios and identify throughput bottlenecks in the SDN architecture.
Big DataText MiningPredictive AnalysisTrend DiscoveryAutomated TaggingOpen vSwitch+2

Neecum

Member of Communications and Marketing Department

Sep 2010Jun 2011 · 9 mos · Guimarães Area, Portugal

  • Responsible for the organization of the first NEECUM Meeting Days event with more than 100 guests.

Centro algoritmi

Research Assistant

Jan 2010Dec 2011 · 1 yr 11 mos · Guimarães Area, Portugal

  • Research work in data mining and evolutionary computation for enhancing spam detection algorithms.
  • Developed a new content-based anti-spam collaborative filtering method using evolutionary computation techniques. The developed approach achieves best spam detection performance, as measured by the AUC metric, when compared to traditional bag of words methods.
  • Worked with RapidMiner, Weka, Java Evolutionary Computation Library, R.
Data MiningEvolutionary ComputationSpam Detection AlgorithmsCollaborative FilteringRapidMinerWeka+1

Education

Universidade do Minho

Master of Science (M.Sc.) — Communications Engineering

Technische Universität Wien

BS

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