Designing, building, and operating enterprise AI. Private and sovereign stacks, cloud-native pipelines, NVIDIA blueprint launch kits, data flywheels that can slash inference spend by up to 98.6%, and edge deployments tuned for regulated industries.
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“This is one of the top developers I've ever had the chance to meet. He combines business savvy, with tech speed, and we are iterating so fast we will become successful.”
Integrated private, cloud, and edge AI execution for enterprises shipping production workloads. Strategy, architecture, model engineering, and operations delivered by a single accountable lead.
Designing air-gapped and regulator-aligned AI estates that keep sensitive knowledge in your control. NVIDIA DGX, OCI, and custom GPU clusters with secure ingestion, tenancy isolation, and governed retrieval.
Refactoring AWS, Azure, GCP, and Oracle workloads into production-grade AI stacks. Multi-cloud RAG pipelines, observability, guardrails, and MLOps that slot into existing engineering rhythms.
Training domain models on curated corpora, applying NeMo and LoRA distillation, and wiring evaluation harnesses so accuracy stays high while latency and spend drop.
In-a-box deployments for Enterprise Research copilots, Enterprise RAG pipelines, and Video Search & Summarisation agents with interactive Q&A. Blueprints tuned for your data, infra, and compliance profile.
Standing up the flywheel: telemetry, preference signals, human feedback loops, and automated re-training that can unlock up to 98.6% inference cost reduction without losing accuracy targets.
Planning and operating GPU fleets across factories, research hubs, and remote sites. Jetson, Fleet Command, and bare metal roll-outs with zero-trust networking and remote lifecycle management.
A production AI delivery loop built for enterprise scale—modular, measurable, and fast enough to keep momentum. Join at any phase or run end-to-end with one accountable partner.
Map the enterprise objectives, success metrics, data assets, and operating constraints. We align exec stakeholders, quantify impact, and select the launch workloads with the highest business leverage.
Design the target architecture across private, cloud, and edge surfaces. Evaluate NVIDIA blueprint fit, pick cloud services, define security zones, and plan for sovereign data obligations.
Audit sources, label pipelines, access controls, and lineage. Stand up ingestion, embeddings, and governance workflows so sensitive knowledge is discoverable yet contained.
Customise foundation models, fine-tune on curated corpora, and distil with NeMo microservices. We wire evaluation harnesses and red-teaming so accuracy and safety targets are measurable.
Launch NVIDIA blueprint kits, APIs, and agents into your workspace. CI/CD, observability, and access patterns align with existing engineering rhythms for minimal disruption.
Activate the data flywheel: preference capture, human feedback, auto-eval, and retraining cadences. We chase latency, accuracy, and cost targets in weekly operating reviews.
In-a-box deployments based on NVIDIA cloud blueprints. Enterprise Research copilots, RAG pipelines, Video Search & Summarisation agents, and continuous model distillation powered by data flywheels—delivered with production guardrails.
Trusted by enterprise research, product, and operations teams shipping AI at scale
Launch kits combine architecture, data ingestion, retrieval-augmented generation, evaluation, and operations into a single sprint. We adapt the blueprint to your security model, connect the data flywheel, and hand over a runbook the board can understand.
Built from shipping enterprise AI in the wild: deep infrastructure, disciplined model engineering, and operational maturity that keeps initiatives alive long after launch.
Architecting air-gapped and regulator-aligned environments that keep sensitive knowledge under enterprise control.
Modernising cloud estates with production-ready AI workflows, observability, and compliance guardrails.
Building the telemetry, evaluation, and retraining loops that keep models sharp while reducing spend.
Deploying GPU fleets at the edge with remote governance, OTA updates, and safety-critical observability.
Deploying research copilots, expert Q&A, and document intelligence across multi-country knowledge estates.
Sovereign AI platforms, governed RAG pipelines, and risk analytics that respect regulatory capital & privacy controls.
Edge AI for industrial inspection, predictive maintenance, and safety telemetry with remote fleet management.
Video search, summarisation, and personalised knowledge delivery at broadcast scale using NVIDIA VSS agents.
Four to six week sprints to adapt NVIDIA cloud blueprints and land production pilots with measurable ROI.
Shared operations model covering MLOps, observability, data flywheels, and continuous improvement cadences.
Embedded enterprise AI leadership to align stakeholders, unblock delivery, and scale AI initiatives company-wide.
Playbooks from launching enterprise AI: private stacks, cloud modernisation, NVIDIA blueprint deployments, data flywheels, and the operations that keep everything sharp.
A field guide to designing sovereign AI estates—security zones, data residency, and NVIDIA DGX deployments that ship value fast.
Transforming AWS, Azure, GCP, and Oracle workloads into production AI platforms with observability, guardrails, and MLOps cadence.
How continuous distillation, routing, and evaluation loops delivered a 98.6% cost reduction without sacrificing accuracy.
The sprint cadence, roles, and artefacts that take an NVIDIA blueprint from whiteboard to production users in six weeks.
Standing up a VSS agent that ingests years of footage, answers natural language questions, and respects compliance boundaries.
Lessons from orchestrating GPU fleets across factories and research hubs with zero-trust, OTA updates, and observability.
Enterprise AI architect and 1Z0-1127-25 Oracle Cloud Infrastructure Generative AI Professional. I bridge architecture, model engineering, and operations so AI programmes ship fast and stay healthy.
Standing up regulated AI estates that satisfy data residency, security, and sovereignty controls without slowing delivery.
Refactoring AWS, Azure, GCP, and Oracle estates into production-grade AI platforms with observability and compliance wired in.
Customising and distilling foundation models with evaluation harnesses, red teams, and data flywheels that lock in ROI.
Designing and operating GPU fleets across factories, labs, and remote sites with OTA updates, telemetry, and zero-trust controls.
From Sydney to Singapore, London to New York, I partner with CIOs, CDOs, and AI leaders to stand up production-grade AI. Most mandates blend private infrastructure, cloud AI modernisation, and blueprint deployment.
Sovereign Regions
Private AI platforms deployed with data residency, isolation, and regulator-approved controls.
Blueprint → Production
Average time to stand up NVIDIA blueprint pilots and land first business outcomes.
Operations Coverage
Follow-the-sun monitoring and response for mission-critical AI workloads.
Private & Sovereign AI Platforms
Air-gapped stacks with NVIDIA DGX, OCI, and custom GPU clusters tuned for sensitive workloads.
Cloud AI Modernisation
AWS, Azure, GCP, and Oracle AI transformations with production RAG, observability, and governance baked in.
Blueprint-in-a-Box Deployments
Enterprise Research, RAG, and Video Search & Summarisation agents ready to ingest your data and launch fast.
Full matter lists available to clients under NDA.
Clarity on how I support AI-native companies and global enterprises. If you need a tailored response, reach out directly.
Email victor@gebarski.com with a short brief and we can schedule a strategy call within 72 hours.
Contact Victor→Let’s design the stack, deploy the right NVIDIA blueprints, wire the data flywheel, and keep your models sharp while costs fall. One conversation is usually enough to map the next ten moves and land a 45-day launch plan.