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Embedded Systems Engineer with 10+ years in embedded systems, IoT, and test automation.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly skilled Software Engineer with 12 years of experience designing, developing, and implementing advanced solutions in the automotive and IoT industries. Specialized in embedded systems, test automation, and software development. Extensive hands-on expertise in performance testing, system integration, user acceptance testing, and web automation using Selenium and Pytest. Proven track record in leading cross-functional teams, optimizing testing pipelines, and delivering high-quality software solutions in complex, safety-critical environments. Adept at CI/CD implementation, field testing, and mentoring engineering teams to drive innovation and process improvements.
Universidad Autónoma de San Luis Potosí (UASLP)
Bachelor's Degree · Engineering
August 1, 2008 – June 30, 2013
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Cultural Fit Analysis
The candidate's diverse project experience across automotive, IoT, and R&D sectors, coupled with roles ranging from embedded software development to test automation and project leadership, indicates a broad skill set and adaptability. Their involvement in mentoring and leading teams suggests a collaborative mindset. The focus on delivering high-quality, safety-critical solutions aligns with industry best practices. The breadth of tools and technologies used (e.g., PyCharm, VectorCast, Git, Scrum, Jira, Docker) further supports a strong cultural fit for a dynamic engineering environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, critical thinking, attention to detail, and team collaboration, which are essential for senior-level embedded systems roles. Their experience in leading teams, mentoring, and coordinating cross-functional efforts indicates good operational fit. The ability to adapt to change and continuous learning attitude are valuable for dynamic R&D environments. However, without specific psychometric test results, a deeper assessment of stress handling and work attitude is not possible.