The competitive edge in modern engineering is not merely knowing syntax. It is the hybrid capability to understand business architecture, regulatory security, and institutional governance — and then using Gemini, Antigravity, and React to independently drive mission-critical solutions from idea to production.
When technology executives evaluate software engineering in 2026, raw code generation is no longer the bottleneck — architectural intent, business acumen, and security governance are. Across twenty years on both sides of the table — fourteen years in European card processing across global payment schemes (Mastercard, Visa, American Express) and PCI-DSS compliance at Nexi Group, two years leading frontend teams at Gamanza, and core IT analysis at NLB Bank — my true edge is the hybrid profile: understanding business dilemmas, data architecture, and regulatory security, and then orchestrating frontier AI tooling like Gemini, Antigravity, and modern headless stacks (Next.js, Strapi CMS, React) to independently bring solutions from initial concept to live production.
In the development of Stojko Hub — the private operating system built for the entire family — that exact engineering discipline was put to the test. Unifying daily life into a coherent, multi-tenant digital hub, the platform integrates a personal nutrition and macro tracker, an intelligent meal prep and Sunday batch cooking engine, a Garmin health dashboard with AI-driven recovery analysis, and an automated GymBeam supplement scraper via MCP. Designed as a living system, future modules will orchestrate family hobbies and household chores scheduling — all running with zero monthly infrastructure waste while scaling seamlessly on demand.
$0.00
Monthly Infrastructure Cost
< 3.0s
Response Latency (Down from 60s+)
100%
PostgreSQL RLS Isolation
By splitting the Next.js 15 frontend on Vercel from Python FastAPI services on Google Cloud Run, the system scales to zero during idle hours. Migrating the Model Context Protocol (MCP) from legacy SSE to the modern stateless Streamable HTTP standard allowed microservices to sleep while guaranteeing instantaneous wakeups.
THE FILM ROOM // TACTICAL SCHEMAS
Sunday Batch Prep, Garmin AI Telemetry & GymBeam MCP
A 5x serving multiplier automatically scales shared family dinners while personal breakfast macros remain isolated at 1x. When cooking completes, an atomic PostgreSQL transaction transfers raw fridge inventory into freezer storage as individually portioned meals. Meanwhile, Python microservices on Google Cloud Run scrape live GymBeam supplement data via Model Context Protocol (MCP) and synthesize real-time Garmin recovery telemetry without cross-exposing private biometric records.
Next.js 15
FastAPI (Python)
PostgreSQL RLS
Google Cloud Run
GymBeam MCP
Garmin AI Telemetry
When an exposed service-role credential was discovered during a security audit, we ran a textbook incident response: rotated all production keys, audited 3 silently open tables, and rebuilt the authentication layer around JWT session tokens enforced strictly at the database layer.