About Victor Gebarski
Enterprise AI Principal Architect specializing in private, cloud, and edge AI deployments.
Professional Background
Victor Gebarski is an Enterprise AI Principal Architect specializing in private, cloud, and edge AI deployments. As an NVIDIA-certified architect, Victor brings deep expertise in sovereign AI, RAG systems, and MLOps to enterprises seeking production-grade AI infrastructure that meets the highest standards of security, compliance, and performance.
Core Expertise
Private & Sovereign AI
Air-gapped, regulator-aligned AI stacks with governed data ingestion and sovereign controls for enterprise environments.
Cloud AI Modernisation
Modernising AWS, Azure, GCP, and Oracle AI workloads with secure RAG pipelines, MLOps, and production guardrails.
Custom Model Training
Fine-tuning and training domain-specific models with continuous evaluation loops and production deployment pipelines.
NVIDIA Blueprints
In-a-box deployments for enterprise research copilots, RAG pipelines, and video search and summarisation agents.
Data Flywheels
Continuous model distillation and evaluation loops that reduce inference spend by up to 98.6% without losing accuracy.
Edge AI
Deploying optimised AI models to edge devices for low-latency inference in manufacturing, retail, and field operations.
Approach
Victor follows an enterprise-first methodology focusing on production-ready AI systems, not proofs of concept. Every engagement is built around security, compliance, and measurable ROI — ensuring that AI investments translate into tangible business outcomes from day one.
Certifications
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