Everett Aknowledge
Quality Assurance Consultant - Independent Projects at Test Fire QA Consulting
Richmond, California, United States
Summary
👤
Senior🎓
Top SchoolEverett Aknowledge is a Quality Assurance consultant with 11 years of hands-on experience blending AI, automation, and cloud engineering to modernize testing and delivery pipelines. He designs end-to-end solutions that combine ML-driven test optimization, robust data integrity checks, and scalable CI/CD across AWS, Azure, and GCP. His background spans SDET and full-stack QA roles at companies from VMware and Meta to Zoox and Intel, giving him deep cross-domain experience in platform migrations and embedded systems validation. Everett is fluent in Python, Java, SQL, and automation frameworks like Selenium and Playwright, and applies ML tooling such as Hugging Face and TensorFlow to practical QA problems. Based in Richmond, California, he also trains teams to adopt AI-enabled QA practices, turning test automation into measurable business outcomes. Notably, he frames QA as a data problem—automating reconciliation and analytics so reliability becomes a continuous, auditable metric rather than a periodic check.
11 years of coding experience
1 year of employment as a software developer
BS Public Accountancy with Information System Business Science-Public Accountancy, BS Public Accountancy with Information System Business Science-Public Accountancy at Kaplan University Online (Purdue Global)
English
Github Skills (6)
api4
rest-api3
rest3
open-access2
frontend1
data-management1
Programming languages (3)
Github contributions (5)
PLOS/cas-integration
Aug 2017 - Aug 2017
Contributions:1 push, 1 branch in 1 day
PLOS/named-entity.service
Dec 2014 - Jan 2015
REST service for storing data about people and organizations
Contributions:4 commits in 1 month
apirest-servicestoringrestorganizations
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