Human-Centered Software Architect & Full-Stack Engineer | AI Applications, Industrial IoT & Edge-to-Cloud

I design and build scalable, production-grade systems used in real operational environments — manufacturing, fintech, APIs, and enterprise platforms.
My work spans system architecture, backend engineering, frontend and UX, Human Interaction Design, IoT/edge systems, and DevOps, with a strong focus on reliability, clarity, and long-term maintainability.

I care about:

• clear system design and explicit trade-offs
• ownership from idea to production and operations
• reliability, testability, and observability
• reducing cognitive load for users and engineering teams

• API-first backend systems
• Cloud-native architectures (Azure, Kubernetes, Terraform)
• Human Interaction Design for complex, high-cognitive-load workflows
• UX systems that align tightly with backend and operational constraints
• Applied GenAI for engineering productivity and decision support
• Production-ready AI systems with clear boundaries, evaluation, and observability
• AI application engineering: AI-enabled workflows and integrations with APIs, structured data and human review.
• Agent-assisted engineering for system analysis, prototyping, documentation and test design.
• Production discipline for AI applications: evaluation, traceability, observability, security and human accountability.

• API & Backend Systems – REST APIs, OpenAPI, Postgres, auth, validation, testing
• Industrial IoT & Edge – telemetry pipelines, OPC-UA, edge processing, factory environments
• Human Interaction Design & UX – operator dashboards, decision-support tools, error-tolerant interfaces
• UX-heavy Dashboards – React/TypeScript, Vue, AlpineJS; interfaces for high cognitive load
• Engineering Tooling – CI/CD, code quality, automation, developer experience
• Open-source Contributions – CMS and platform extensions (long-term maintenance)

• Solve customer problems, not just features
• Prefer simple, explicit solutions over clever ones
• Design systems and interfaces together, not in isolation
• Keep systems boring, predictable, and observable
• Treat tests and documentation as first-class artifacts
• Use AI as an accelerator — never as a replacement for engineering judgement

📫 Contact

• LinkedIn: https://www.linkedin.com/in/jelicanin/
• Location: Zagreb, Croatia