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MarchenkoRuslan - Overview

Hi, I'm Ruslan πŸ‘‹

I build AI-powered systems and backend solutions that actually work in production.
I turn AI ideas into real, scalable products β€” from agents and RAG systems to full backend architectures.

πŸš€ I make AI useful, reliable, and integrated into real workflows.


⚑ Featured Projects

πŸ”Ή RAG & Knowledge Systems β€” Retrieval-Augmented pipelines for internal knowledge
πŸ”Ή AI Agents & Automation β€” AI workflows integrated with real tools
πŸ”Ή Backend Tools β€” Python backend for SaaS & data-driven apps

More projects coming soon…


πŸ›  What I Do

I help companies and teams turn AI from demos into real, usable systems.

Key focus areas:

  • πŸ€– AI agents for workflow automation
  • 🧠 Retrieval-Augmented Generation (RAG) systems
  • πŸ”— AI integrations with SaaS & enterprise tools (APIs, GitLab, OneDrive)
  • βš™οΈ Backend systems for AI applications (Python, FastAPI, Django)
  • ☁️ Cloud-native AI (AWS, GCP)

πŸ’‘ Why Work With Me

Most AI projects fail after the demo. I focus on:

  • Building production-ready systems
  • Grounding AI in real internal data (no hallucinations)
  • Designing AI solutions that scale and integrate with workflows

Systems you can rely on daily. Not prototypes, not experiments.


🧩 Experience Highlights

  • Built enterprise AI components for a large financial organization
  • Developed AI agents integrated with GitLab, OneDrive, and internal tools
  • Implemented RAG pipelines to improve reliability and trust
  • Designed scalable backend services for AI systems

πŸ“¦ Services I Offer

  • Backend development & API design
  • AI-powered workflow automation
  • RAG systems for internal knowledge
  • AI integration into SaaS & enterprise tools

πŸ›  Tech Stack

Languages: Python, SQL
Backend: FastAPI, Flask, Django, REST APIs
AI/ML: LLMs, RAG, Agentic Systems, Scikit-learn
Cloud: AWS, GCP
Data: Pandas, NumPy
Tools: Docker, Git, Jupyter


πŸ† Coding Profiles


πŸ“« Contact Me

Open to collaboration on AI projects, consulting, and system design.


⚑ Current Focus

  • Agentic systems
  • MCP & tool-based architectures
  • Real-world AI adoption in companies