01
find the real cause behind recurring technical problems
Senior software engineer and systems architect
Senior engineering for systems that are slow, fragile, or hard to change.
I help companies diagnose weak technical foundations, choose the right next move, and improve the systems their business depends on.
Common signals
Slow or unstable systems that block delivery
Integrations with unclear ownership and repeated failures
Data that exists but does not guide decisions
Technical choices that create more work than progress
The fix is rarely “more code”. It is usually better structure, clearer ownership, and fewer accidental dependencies.
Goran Štimac
Senior software engineer and consultant
How I help
Clearer systems. Better technical decisions. Less wasted effort.
I work as an external senior engineer and architect when the system is hard to trust, change, or scale.
02
simplify architecture before adding more tools
03
connect systems, data, and automation around how the business works
The goal is not more activity. The goal is a system the team can understand, operate, and improve.
What I Do
Focused consulting for the systems behind the business.
The strongest fit is architecture, integrations, automation, data and AI workflows, and ongoing technical direction.
Architecture & System Audits
Find bottlenecks, risks, and the next best fixes for complex systems.
- Identify bottlenecks, risks, and clear next steps
- Review performance, reliability, and maintainability
- Turn findings into priorities teams can execute
Integrations & Automation
Reliable integrations and automation that reduce manual work and keep data moving.
- Connect systems and remove manual work
- Clarify contracts, ownership, and error handling
- Keep data moving across products and operational systems
Data & AI Workflows
Data and AI workflows that turn information into useful action.
- Turn scattered data into useful, actionable insights
- Connect assistants to documents, tools, and workflows
- Build AI systems teams can evaluate and maintain
Other ways I can help
If the problem spans multiple systems, use the full index to decide where a first engagement should start.
What you get
Practical outcomes backed by senior engineering judgment.
You get clearer direction, fewer fragile edges, and help from someone used to complex environments.
Results
01
A clearer technical direction
02
Fewer fragile integrations and operational surprises
03
Less complexity for the team to carry
Why me
01
15+ years of hands-on engineering experience
02
Experience with complex systems in large-scale environments
03
Practical, vendor-neutral judgment before implementation
Process
Three steps. Clear scope. No unnecessary rewrite.
Understand the problem, choose the right move, and act on a plan the team can use.
01
Review the setup
We look at what is happening, what is breaking, and where the business feels the cost.
02
Define the right direction
I recommend the simplest workable path, the changes to avoid, and where effort is best spent.
03
Move with a clear plan
You get a practical next step that reduces risk and keeps the work aligned with business goals.
Blog
Recent posts
A few posts worth a look.
Security & Privacy
Azure DevOps MCP Flaw Lets Hidden PR Comments Hijack AI Agents — What Teams Need to Know
A confused-deputy vulnerability in Microsoft's Azure DevOps MCP server lets attackers use invisible HTML comments in pull requests to hijack AI coding agents for cross-project data theft. No fix released as of July 22, 2026.
Updates & Announcements
Anaconda Acquires Kilo Code: Open-Source AI Coding Agent Joins the Enterprise Stack
Anaconda acquires Kilo Code, the open-source AI coding agent used by 3M+ developers. The acquisition creates an end-to-end enterprise AI pipeline from first prompt to production.
Security & Privacy
Securing AI Agents Against Prompt Injection — IBM Technology
A production-tested guide to prompt injection defense — covering the IBM Technology video breakdown, why sanitization fails, defense-in-depth strategies, and the checklist every AI agent deployment needs.
Automation & Integrations
Webhook Architecture for AI-Triggered Workflows: Delivery, Retries, and Idempotency
A practical guide to webhook architecture for AI-triggered workflows — covering delivery guarantees, retry strategies with exponential backoff, idempotency keys, payload signing, and monitoring patterns.
Security & Privacy
Data Governance for AI Workflows in Regulated Industries
A practical data governance framework for AI workflows in regulated industries — covering data classification, retention policies, audit trails, consent management, and vendor risk assessment under GDPR, MiFID II, and the EU AI Act.
Business Strategy
When Not to Use AI Agents: A Decision Framework
A practical decision framework for knowing when NOT to use AI agents — zero-error workflows, high-liability decisions, latency-sensitive interactions, and cases where deterministic code is cheaper and more reliable.
Free discovery call
Book a free 30-minute discovery call and get a clear direction for your system.
I can help you review the current setup, decide what to fix first, and create a practical path forward.