Computer Engineer · Product · Digital Growth · AI & Automation
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Work · How I work · Toolbox · Activity
I'm a computer engineer by training with more than a decade across software, web, e-commerce and digital systems. I work where technical architecture, product thinking and business performance meet.
- Engineering roots — applications, information systems, web platforms and process automation.
- Product & business scale — acquisition, marketplaces, analytics, conversion and multi-market e-commerce.
- Current focus — AI, automation, observability and systems designed to remain understandable as they grow.
Background in 30 seconds
- Built business applications and web tools before moving into broader digital project work.
- Led digital marketing and e-commerce across 20+ web properties in four European markets.
- Worked across development, project ownership, SEO/SEA, marketplaces, analytics, tracking and conversion.
- Today I use that hybrid background to design products that connect code, users, operations and business constraints.
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Interfaces, constraints, data flows, failure modes and maintainability. |
Technical decisions connected to users, conversion, operations and business value. |
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Reasoning and assisted workflows with important decisions kept reviewable. |
Inspectable, reproducible systems with explicit boundaries and evidence. |
NiakVIO — a maintainable provider engine built around compatibility evidence, repair and native-device validation.
What NiakVIO focuses on
- Structured provider architecture and reusable provider knowledge.
- Native-device Labs across TV, mobile and desktop.
- Evidence-based compatibility, diagnosis and repair.
- Validation and safer publication instead of optimistic green checks.
NiakGPT — a local-first power workspace for longer, more structured ChatGPT work.
What NiakGPT focuses on
- Local-first architecture and explicit ownership boundaries.
- Better navigation and continuity for long-running Projects.
- Native-feeling browser UX rather than a separate dashboard.
- Automation that extends the product without obscuring what it is doing.
Three rules stay visible in almost everything I build:
- Understand the real problem before automating it.
- Prefer evidence over assumptions.
- Design for failure, observation and repair.
The principles behind that
- Make the complex understandable.
- Automate repetition — not responsibility.
- Keep failure states visible instead of manufacturing green checks.
- Use AI to extend judgment, not hide it.
- Let architecture protect iteration rather than impress people.
- Ship → observe → repair → simplify → repeat.
Languages & core engineering
JavaScript · TypeScript · PHP · Python · C++ · C · SQL · HTML · CSS
Main application stack
Node.js · React · Next.js · Symfony · REST APIs · Browser Extensions
Full toolbox & domains
- Programming & software engineering — JavaScript, TypeScript, PHP, Python, C++, C, SQL, HTML, CSS, object-oriented programming, application architecture, business applications and technical problem solving.
- Web & application stack — Node.js, React, Next.js, Symfony, REST APIs, JSON, browser extensions, WebViews, third-party integrations and web application architecture.
- Data & databases — PostgreSQL, MySQL, SQLite, relational modelling, ETL, Talend, data transformation and database-backed application workflows.
- Systems & infrastructure — Linux/VPS, Docker, Docker Compose, Git, GitHub Actions, CI/CD, Cloudflare, Nginx/Caddy, systemd, reverse proxy/HTTPS, deployment workflows, health checks, logs, monitoring, backups and rollback thinking.
- Testing & platform tooling — Python test/validation scripts, CodeQL, Dependabot, Playwright/Chromium, Android emulator/ADB, native Android/TV testing, QEMU-based CI and cross-device compatibility work.
- AI & automation — AI-assisted workflows, agent orchestration, multi-provider routing, validation loops, local-first tooling, API automation, Zapier, workflow design and process automation.
- E-commerce platforms — PrestaShop, Shopify, WordPress, Webflow, catalogue operations, product data, marketplaces, modules/connectors, multi-store environments and e-commerce architecture.
- SEO & acquisition — technical SEO, content/search strategy, SEA, Google Ads, Meta Ads, TikTok Ads, marketplace acquisition and multi-market growth.
- Analytics & performance — Google Analytics, tracking plans, analytics instrumentation, Looker Studio, KPI dashboards, Excel, conversion analysis, UX/CRO and performance reporting.
- CRM & lifecycle — emailing, Mailchimp, Brevo/Sendinblue, Mailjet, automation scenarios and customer journey optimisation.
- Product & delivery — product architecture, digital strategy, project ownership, requirements, vendor coordination, cross-functional delivery, experimentation and continuous improvement.
- Broader engineering exposure — Android NDK/JNI, Java/Kotlin/Swift ecosystems, systems/networking fundamentals, cross-platform architecture, Tauri/WebViews and lower-level performance constraints.
AI agents with validation · local-first software · cross-platform tooling · observability · e-commerce systems · product architecture
