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Appen
MindriftRemotasksSurge AINo subject matter listed
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VideoWith over 8 years of experience in cloud engineering and DevOps, I have a strong background in building and automating cloud-native infrastructures that support large-scale data-driven applications. My expertise includes deploying and managing data pipelines, automating provisioning with Infrastructure as Code (Terraform, CloudFormation), and integrating monitoring and observability tools such as Prometheus, ELK Stack, and Datadog to ensure data integrity and quality. I have extensive hands-on experience with Python, shell scripting, and containerization (Docker, Kubernetes), which I have used to streamline data workflows and automate the collection, labeling, and processing of diverse datasets in sectors like healthcare and energy. I am passionate about enabling robust, secure, and cost-effective systems that support high-quality AI training data, and I am skilled at implementing CI/CD pipelines to reduce manual intervention and improve the consistency of data annotation and labeling processes.
comparing prompt accuracy with geneated images, two images comparison, classification of objects.
Bachelor of Science, Public Health
Senior DevOps Engineer
IT Solutions Architect
