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QA Engineer at Apple
Product Management skills underscore my timely credentials as a dynamic, astute, and knowledgeable Technical Marketing and Product Solutions Professional with experience in machine learning tools, and B2B/B2C product support strategy. I create order and efficiency by using agile planning methodologies to facilitate smooth execution. I guide strategy with vision and understanding of product requirements to enable successful product release and improve business expansion. I am adept at developing customer relations and working to create mutually beneficial resolution for development, production and in-revenue software issues. Constantly interacting with software, design, sales, and marketing engineers to increase customer satisfaction. SPECIALTIES: Technical Project Management; B2B/B2C Product Management; Software Engineering; Machine Learning Software; Platform Application Engineering; Machine Learning Integration ; Client Relations; Sales/Business Development; Multicultural/Multilingual Background; Fluent in English, Hebrew, Arabic TECHNOLOGY SKILLS: Languages: Python, Java, MySQL, XML, HTML, JavaScript, C, C# Frameworks / Tools: Git, Django, Saffron (Machine Learning), Scrum agile planning, Jira Contact Info: ryda1205@gmail.com Cell: 408-674-8614 San Jose, California
Santa Clara University
Master of Science (MS), Computer Software Engineering
January 1, 2012 – January 1, 2014
Edinburgh Business School, Heriot-Watt University
Master of Business Administration (MBA)
N/A – Present
Technion - Israel Institute of Technology
Bachelor of Science (BS), Computer Science
N/A – Present
Apple
QA Engineer
April 1, 2019 – Present
United States
Intel
Data Center Software Engineer - Machine Learning
March 1, 2016 – April 1, 2019
Intel
System Validation Engineer
January 1, 2014 – February 1, 2016
Santa Clara University
MS Computer Engineering
June 1, 2012 – December 1, 2014
Santa Clara, California
Fil-Fil San Jose, California
Founder and Managing Director
January 1, 2006 – January 1, 2010
San Jose, California
Cultural Fit Analysis
The candidate has a diverse background, including roles in large corporations (Intel, Apple) and an entrepreneurial venture. The transition from validation to software engineering and machine learning, along with multiple master's degrees, indicates a strong drive for continuous learning and adaptability. However, the most recent role as a QA Engineer at Apple, without detailed description, might suggest a deviation from a pure backend engineering path. The target role of 'Backend Engineer' aligns with the Python/Django experience, but the depth of modern backend system design and distributed systems is not explicitly detailed in the resume.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, evidenced by resolving technical escalations and optimizing validation processes. Experience in leading strategy and collaborating with various engineering teams suggests good leadership and teamwork capabilities. The entrepreneurial background also indicates initiative and business acumen.