Natàlia Gallart
QA Lead at Teneo.ai
Greater Barcelona Metropolitan Area Spain
Summary
👤
Senior🎓
Top SchoolNatàlia Gallart is a QA Lead with 8+ years focused on functional and exploratory testing in agile environments, currently leading quality efforts at Teneo.ai. She blends hands-on test automation (Selenium+JUnit, Ranorex) with deep familiarity in tracking tools (Jira, Rally) and a broad legacy stack spanning Delphi, J2EE, PL/SQL and SAP R/3. Her background includes test leadership on large telecom and Adobe projects and earlier roles in project management and SAP training, giving her a rare mix of technical, process and client-facing experience. Comfortable with databases from Oracle to MySQL, she also frames testing through a data-science lens (per her GitHub bio), which informs a metrics-driven approach to quality. Known for applying exploratory techniques to uncover subtle defects, she continuously seeks new methods to strengthen agile testing practices.
8 years of coding experience
12 years of employment as a software developer
Graduate, Waste treatment and enterprise environmental management, Graduate, Waste treatment and enterprise environmental management at Universitat Autònoma de BarcelonaDegree, Physics, Degree, Physics at Universitat de Barcelona
Esperanto, English, Korean, Catalan, Spanish
Github Skills (3)
wikipedia5
segmentation5
deep-learning3
Programming languages (2)
Github contributions (5)
Barbany/ML-Project1
Oct 2018 - Oct 2018
Contributions:26 commits in 27 days
nataliagullon/segmentation-retinal-lesions
Jul 2018 - Oct 2019
Retinal lesions segmentation using CNNs and adversarial training: A Degree Thesis Submitted to the Faculty of Escola Tècnica d’Enginyeria de Telecomunicació de Barcelona of Universitat Politècnica de Catalunya.
Contributions:35 commits, 2 PRs, 23 pushes in 1 year 4 months
catalunyadeep-learningadversarialadversarial-trainingcnns
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