Empowering enterprises to operationalize AI, securely and at scale

Nader is a DevOps Engineer in Visium's Data Engineering department, where he builds and maintains the cloud infrastructure and automated deployment pipelines that keep data and engineering workflows running reliably.

He brings prior experience as a Cloud Native Developer at Hewlett Packard and DevOps roles across Spain and Switzerland. He has deep expertise in cloud and platform engineering, spanning Azure, AWS, and Infrastructure as Code, alongside backend development and secure, AI-assisted engineering workflows. Nader holds a Bachelor of Science in Computer Engineering from Pompeu Fabra University in Barcelona, including a Computational Engineering exchange at UT Austin.

Anhelina is a Senior DevOps Engineer at Visium, where she builds and operates scalable cloud infrastructure, strengthens platform reliability, and empowers engineering teams through automation and DevOps best practices.

Before Visium, she spent three years as a consultant delivering cloud-native infrastructure solutions for clients across a range of industries, followed by several years in the fintech sector. She also contributed to the Kubernetes open-source community for over a year as part of its support team. Her expertise spans Kubernetes, AWS, infrastructure as code, automated deployment pipelines, observability, and platform engineering.

Miguel is a Senior Data Engineer at Visium, where he designs and builds scalable data platforms, pipelines, and analytics-ready models that help clients turn complex business requirements into reliable data solutions.

His career has progressed from data analysis and BI reporting into data engineering, architecture, and cloud data platforms, taking on growing leadership in solution design, mentoring, and stakeholder alignment. Miguel holds a Master's in Data Science and Data Engineering in Cloud from Universidad de Castilla - La Mancha and brings deep expertise across Azure, Microsoft Fabric, and PySpark.

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Riccardo is a Senior Data Engineer at Visium, where he modernizes data infrastructures, designs scalable AI solutions, and delivers innovative machine learning applications to solve complex business challenges.

He holds a PhD in Physics from the Max Planck Institute for the Science of Light, where he published research on reinforcement learning and quantum computing. His expertise spans MLOps, natural language processing, and cloud platforms including GCP, Azure, Databricks, and Palantir.

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Any is a Lead MLOps Engineer within the Platform Engineering Team at Visium. With over four years of experience designing, building, and deploying scalable AI architectures, he helps our clients empower their teams and apply MLOps best practices to ensure a smooth transition from Proof of Concept to production environments.

Why is it important? Because without applying those principles at the very beginning of a project the chance of success diminishes drastically.

His core expertise lies in understanding large, complex systems and breaking them down into manageable components to build automated solutions.

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Carlos is a Data Engineer at Visium, where he designs and develops data-driven solutions by building scalable ETL pipelines, integrating machine learning microservices, and optimizing cloud-based workflows.

He holds a Master’s in Data Science and a degree in Physics from the University of Valencia. Certified in AWS and Azure, Carlos brings expertise in cloud platforms and data engineering, along with hands-on experience in machine learning, natural language processing, and DevOps practices.

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