Anibal Sanchez
Back End Developer at Tui
Based in Llanera, Spain
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Seniority
Staff
Department
Information Technology
Location
Llanera
Industry
Hospitality
Company size
35K
Contact information
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a•••••••@tuigroup.com
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Background
About Anibal Sanchez
Anibal Sánchez is a versatile Solutions Architect and Software Engineer with a B.S. in Computer Science from the Universidad de Buenos Aires (Argentina). Leveraging a deep foundational understanding of systems, Anibal has successfully transitioned from years of building robust, scalable full-stack applications (PHP, Laravel, Java, Spring) to specializing in Cloud-Native Machine Learning and MLOps. Anibal's current focus is centered on achieving the AWS Certified Machine Learning Engineer - Associate (MLA-C01) certification. This intensive study involves mastering the entire ML lifecycle on AWS: from efficient data preparation and feature engineering to model training, hyperparameter tuning, and large-scale deployment using Amazon SageMaker. He is actively developing expertise in securing and optimizing ML workflows, focusing on model governance and monitoring to ensure operational excellence and responsible AI implementation in production environments. With comprehensive expertise in infrastructure management, Anibal uses Docker, Terraform, and Ansible to architect and manage reliable, automated cloud solutions across AWS (EC2, RDS, CloudFront, S3, IAM) and Azure. His background includes successful entrepreneurial ventures in web solutions, demonstrating his ability to partner with clients to define, deploy, and operate successful software products from concept to scale. Residing in Asturias, Spain, Anibal provides end-to-end cloud and ML solutions. His skill set seamlessly bridges the gap between low-level system understanding, high-level full-stack development, and cutting-edge data science, positioning him as a well-rounded professional ready to architect the next generation of intelligent, scalable applications. Tech Toolbox Highlights: Machine Learning (AWS focus): Amazon SageMaker (Training, Inference, Pipelines), Feature Stores, Model Monitoring, MLOps best practices. Cloud & Infra: AWS (EC2, S3, RDS, CloudFront, IAM), Azure, Terraform, Ansible, Docker. Full-Stack & Web: Laravel, Symfony, Vue.js/Vite, Java/Spring.
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