Roman Moroz
Software Engineer · AI & Automation ConsultantI help teams find where AI is actually useful, design the right workflow, and implement the solution — from quick prototypes to production software.
Products I’ve designed and built end to end — from a production iOS app to a persistent multiplayer game and an AI workflow tool.
A production iOS cooking app that turns the ingredients you already have — including ingredients detected from a photo — into personalised recipes using AI. Built end to end with authentication, backend services, subscriptions and App Store distribution.
An asynchronous football management game built around a custom simulation engine, persistent club state, tactics, progression and multiplayer systems. A larger long-term product where game logic, backend infrastructure and the web experience evolve together.
A tool that turns a plain-language business process into a structured automation: services, triggers, actions, field mappings and example payloads. Designed to behave more like a small automation consultant than a generic chatbot.
I help turn repetitive work, messy processes and half-formed AI ideas into practical systems that people can actually use.
AI integrations · workflow automation · internal tools · prototypes · agent workflows · API integrations
Look at an existing workflow or problem and identify where AI, automation or a small internal tool can remove meaningful manual work—and where AI would only add unnecessary complexity.
Define how models, prompts, data, APIs, external tools, approvals, human steps and automation should fit together.
Build a focused prototype that can be tested with real users and real data before committing to a larger implementation.
Implement the solution end to end: frontend, backend, AI integration, APIs, database, authentication, deployment and production workflows.
Not every problem needs AI. Sometimes the best AI decision is not to use it.
Practical lessons from building apps, integrating AI and figuring things out along the way.
An overview of the tools and boundaries in a modern AI-assisted development workflow.
A decision framework for when MCP adds value and when simpler project tools are sufficient.
A practical introduction to MCP from the point where direct integrations stop being enough.
I’m a full-stack and backend software engineer who builds complete products and increasingly works across AI integrations, workflow automation and AI-assisted development. I approach AI work as engineering: understand the problem, choose the right architecture, build the system and make it reliable in production.
More about me →Tell me what currently takes too much time, involves too much copying between systems, or feels like it should be smarter. I can help figure out whether AI or automation makes sense — and build it if it does.
Contact RomanLocation
Based in Augsburg, Germany · working remotely across Europe
Availability
Open to AI consulting, selected freelance projects, collaborations and relevant full-time AI or software engineering roles.