01 / Foundations
Data platforms & architecture
Secure, scalable data foundations across cloud and hybrid environments.
CloudAIAviation Systems
OndřejGrünwald
I keep returning to data platforms, low-latency pipelines, and production AI systems where telemetry and real-time reliability matter in practice.
Current focus
Hybrid-cloud and edge data systems for telemetry ingestion, AI integration, and real-time reliability.
Operating lens
Secure, scalable foundations first. Real-time pipelines and AI only when they hold up in production.
Signature stack
Kafka, Trino, Terraform, Kubernetes, OCI, and auditable real-time telemetry pipelines.
Tracks
From foundations to pipelines to production AI.
02 / Real-Time
Real-time systems & pipelines
Low-latency telemetry ingestion with replay, auditability, and operational reliability.
03 / AI
Applied AI & analytics
Production-grade AI systems for decision support, anomaly detection, and monitored ML workflows.
Work
From receivers to real-time cockpit view.
A complete aviation data system — ADS-B receivers and weather feeds through stream processing and lakehouse storage to a real-time map with live traffic, aircraft detail, and historical replay. Two deployment profiles: full cloud stack and a lite edge configuration.
Real-timeStream processingLakehouseTelemetryEdge + Cloud
SkyAlgorithm
Positioning
Research depth on one side. Production realism on the other.
I hold a Ph.D. in Electrical Engineering from the Czech Technical University in Prague, with earlier degrees in informatics and computer science. That background shows up less as credentials than as analytical rigor, technical judgment, and a bias toward taking research thinking all the way into production systems.
Trajectory
Now / Then / Earlier
Today
SkyAlgorithm
An independent R&D studio focused on aviation data infrastructure, telemetry pipelines, hybrid-cloud systems, and real-time reliability.
Oracle
Enterprise scale
Nearly a decade building financial risk analytics systems, cloud architecture, and practical AI adoption in enterprise environments.
SAP
ML and data platforms
Five years building predictive models and in-memory data platforms, with a strong bias toward analytical rigor and data-intensive systems.
Reach
Reliable systems for unforgiving conditions.
KafkaTrinoTerraformKubernetesOCITelemetry