Dr. Viliam Rapčan
Verified Expert in Engineering
Solution Architect and Developer
Žilina, Žilina Region, Slovakia
Toptal member since March 31, 2025
Viliam has extensive experience in architecting and implementing private and hybrid cloud environments. He has a strong background in virtualization (KVM), containerization (Kubernetes), and the design of services for GPU-accelerated AI workloads, software-defined networks (SDN), and software-defined storage platforms (SDS). Viliam has a proven ability to deliver scalable, sustainable, secure, and cost-effective infrastructures that support enterprise growth and operational excellence.
Portfolio
Experience
- Cloud - 12 years
- Virtualization - 3 years
- Data Centers - 3 years
- High-availability Clusters - 3 years
- Machine Learning Operations (MLOps) - 3 years
- Software-defined Networking (SDN) - 3 years
- Software-defined Storage (SDS) - 3 years
- Hyperconverged Infrastructure (HCI) - 3 years
Preferred Environment
Cloud, Virtualization, Monitoring, Machine Learning Operations (MLOps), Software-defined Networking (SDN), Software-defined Storage (SDS)
The most amazing...
...solution I've built from the ground up is a European cloud provider focused on running AI and high-performance computing (HPC) workloads.
Work Experience
Solution Architect
Self-employed
- Created innovative digital health and analytics solutions for pharma and medical device clients.
- Engineered impactful dashboards and visualizations that enhanced patient health outcomes.
- Identified, classified, and predicted events from data acquired by medical devices.
- Designed and developed a stimulation delivery solution within a deep brain stimulation treatment for movement disorders.
Chief Technology Officer
InoCloud
- Architected and deployed cutting-edge, secure, private GPU-accelerated HPC clusters, leveraging hyper-converged infrastructure (HCI), virtualization, and software-defined storage solutions within high-availability (HA) environments.
- Enhanced bare-metal systems to optimize performance for demanding AI and HPC workloads.
- Implemented infrastructure-as-code, employing Ansible to manage and deploy containerized AI applications utilizing Kubernetes and SUSE.
- Developed and implemented software-defined networks (SDN) to guarantee a secure and resilient cloud platform.
- Oversaw the creation and management of VM templates for AI and HPC workloads.
- Introduced end-to-end monitoring (Prometheus and Grafana) and performance optimization for cloud-based AI services.
- Built and implemented rigorous disaster recovery, backup, and business continuity strategies to uphold data integrity and ensure seamless operational resilience.
- Led and mentored technical teams, fostering a culture of continuous improvement and development of sustainable and energy-efficient solutions.
- Expanded the client base through strategic business development and tailored client engagement.
Chief AI Officer
InoCloud
- Engineered and deployed an MLOps platform utilizing HCI, Kubernetes, and advanced AI frameworks.
- Assessed and recommended software and systems for artificial intelligence as a service (AIaaS).
- Managed technical specifications and comprehensive documentation.
- Delivered presentations and workshops on the advantages of cloud computing for the public.
Data Scientist
Novartis
- Reduced maintenance costs by applying statistical and machine learning methods to predict critical failures three days ahead.
- Empowered the pharma industry with data-driven insights by leveraging predictive analytics.
- Led the planning and execution of multiple successful proof-of-concept initiatives.
- Co-authored an industrialization toolkit for data science projects in the analytics center of excellence.
- Acted as a liaison between the business stakeholders and the data science team.
Solution Architect
Novartis
- Architected global commercial analytics solutions and a patient adherence platform.
- Designed a commercial data lake solution for the global oncology business.
- Improved the performance of a field force effectiveness platform by reducing load times significantly.
Experience
European AI and HPC Cloud Provider
https://inocloud.com/Education
PhD in Biomedical Engineering
Trinity College Dublin - Dublin, Ireland
Master's Degree in Biomedical Engineering
University of Žilina - Žilina, Slovakia
Skills
Tools
KVM/Qemu, Ansible, VMware, Grafana, Zabbix, Tableau, Tableau Desktop
Platforms
Linux, Ubuntu, Proxmox, KVM, Kubernetes, Amazon Web Services (AWS), Alteryx
Storage
Databases, Data Centers, NoSQL, Data Lakes, Ceph, SUSE
Languages
Bash, YAML, SQL, Python, R
Frameworks
Hyperconverged Infrastructure (HCI)
Paradigms
ETL, Software-defined Networking (SDN), High-performance Computing (HPC)
Other
Cloud, Data Acquisition (DAQ), GPU Computing, System Administration, Virtualization, Software-defined Storage (SDS), Monitoring, Machine Learning Operations (MLOps), Machine Learning, Medical Devices, VLANs, High Availability (HA), AIOps, Web Portals, Data Architecture, Infrastructure as Code (IaC), Prometheus, High-availability Clusters, Dashboards, Pharmaceuticals, Digital Signal Processing, Data Visualization, Reporting, Tableau Server, Informatica, Engineering, Artificial Intelligence (AI), Artificial Intelligence as a Service (AIaaS)
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