Zlatko Lakisic
Private Networks Architect & Practice Lead · Enterprise Presales & Connected Solutions
Technical Strategy
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Engineering Philosophy
Outcome-first delivery
Complex technical debt and legacy modernization only matter when they connect to measurable business outcomes. My practice centers on translation: customer workflows and operational KPIs become integration patterns, discovery artifacts, and reusable implementation playbooks that engineering teams can execute against.
Technical governance
High-performing delivery depends on architectural north stars, quality baselines, and early mitigation of long-term risk — whether integrating ~50 systems for a global retailer or hardening national payment infrastructure. Governance is not bureaucracy; it is the scaffold that keeps scale from becoming fragility.
Recycle-first engineering
Operational waste is often a design choice, not a budget constraint. Repurposed hardware, localized inference, and sandbox clusters provide production-faithful test beds without standing cloud cost — the same mindset that drives efficient enterprise platform adoption.
The home lab is not a hobby layer on top of enterprise work; it is where those principles get pressure-tested. Maximizing bare-metal efficiency and container density on repurposed nodes directly parallels how organizations should right-size cloud estates: fewer idle VMs, higher utilization per host, and workloads placed where latency and data-sovereignty requirements actually justify the cost. Running Ollama inference, Frigate NVR, and agent sandboxes locally before recommending architecture to clients means proposals are grounded in real utilization curves — not vendor sizing calculators.
That recycle-first discipline also mitigates vendor lock-in. When you can reproduce production-shaped failures on bare-metal Kubernetes clusters built from hardware that would otherwise be retired, you reduce dependence on a single hyperscaler’s managed primitives for every experiment. The enterprise translation is straightforward: higher container density and disciplined workload placement slash cloud spend; standardized integration boundaries (MCP, REST, MQTT) keep teams portable across providers; and governance applied early — segmented networks, credential-scoped catalogs, documented runbooks — prevents the technical debt that inflates corporate infrastructure overhead over time.
AI Transformation Framework
The portfolio homepage illustrates four pillars for enterprise AI adoption:
| Pillar | Focus |
|---|---|
| Strategy | Outcome-first roadmaps aligned to business metrics |
| Integration | API and MCP tool boundaries |
| Empowerment | Self-hosted inference and agent workflows |
| Governance | Credential-scoped catalogs, segmented trust, operational sustainability |
How Strategy Maps to Delivery
| Domain | Strategic approach | Where to read more |
|---|---|---|
| Enterprise integration | Discovery → HLSD → dual-mode bridges for legacy and modern estates | Walmart case study |
| Healthcare connectivity | Private networks as integrated solution elements, not commodities | Healthcare architecture |
| Identity & access | SAML/OAuth federation, segmented trust zones, credential-scoped catalogs | Identity & Access |
| AI & MCP platforms | Local inference, agent orchestration, MCP tool layers | Local AI and MCP |
| Infrastructure efficiency | Bare-metal density, VLAN isolation, production-faithful sandboxes | Infrastructure and Home Lab |
Representative Impact
Selected outcomes that illustrate how strategy translates to delivery — full career history is on the Resume.
- Retail supply chain — Unified 50+ legacy and modern systems across 5,500 Walmart and Sam’s Club locations; eliminated 3×–4× inventory rework cycles tied to corporate P&L.
- Healthcare connectivity — Drove Baxter private-network adoption and multi-million-dollar health-system engagements; private wireless, FWA, and satellite resilience for mission-critical care.
- Enterprise AI influence — Managed customer feedback loop for a 95%-accurate ML model at Verizon; translated field insights into product roadmap priorities.
- Media & ad-tech scale — Architected ViewBooster for 60,000+ YouTube channels; sub-second analytics at a top global MCN.
- National payments — Contributed to U.S. electronic check-clearing modernization at The Clearing House.
- Content platforms — Co-founded OmegaCMS — headless, multi-tenant ECM with serverless-ready, database-agnostic architecture.