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romanmash/README.md

Roman Mashkovskyy

Senior Architect and AI Software Engineer based in Denmark. Building production-grade Generative and Agentic AI systems with a Python-first toolchain.

I've spent the last two decades architecting and shipping enterprise software, most recently on supply-critical telco and energy systems. My current focus is AI software engineering : multi-agent systems, LLM tool use, and the production discipline that turns AI prototypes into reliable services.


Currently building

finsight-py Python-first, multi-agent stock market intelligence platform. LangGraph supervisor graph, four FastMCP tool servers, human-in-the-loop decision support. Personal project to deepen hands-on production AI experience.

Currently exploring

Spec-Driven Development, agentic system observability, multi-agent reliability patterns, and the operational realities of running LLM-powered systems in production.


Stack

Languages - Python · Bash · PowerShell · .NET/C# · TypeScript · SQL
AI - LangGraph · LangChain · FastMCP · LangSmith · OpenAI · Anthropic · Ollama
Backend & data - FastAPI · PostgreSQL · pgvector · Redis · Celery · SQLAlchemy
Cloud & infra - Microsoft Azure · Docker · Kubernetes · Pulumi · GitHub Actions


Open to

Freelance and contract engagements in AI engineering, agentic systems, and architecture for AI-powered products. Based in Denmark, available remote or hybrid.

LinkedIn

Pinned Loading

  1. finsight-py finsight-py Public

    Python-first multi-agent stock market intelligence platform for investor decision support

    Python

  2. agentic-converter-py agentic-converter-py Public

    Python-first CLI that converts Jenkinsfiles into GitHub Actions workflow YAML using a locally-hosted LLM and an iterative agentic converter-reviewer loop

    Python

  3. scoop-manager scoop-manager Public

    CLI toolkit for managing portable Scoop installations on Windows

    PowerShell

  4. agentic-converter-langchain agentic-converter-langchain Public

    LangChain-based CLI that converts Jenkinsfiles into GitHub Actions workflow YAML using a locally-hosted LLM and an iterative agentic converter-reviewer loop

    Python