Denys Kyrpota

AI Developer | LLM Orchestration & Agentic Workflows

Remote / Poznań, Poland

I am an engineer who builds scalable applications integrated with AI. I focus on making the development process smarter and faster without losing code quality.

Core focus areas:

▹ AI Agents: Using LLMs to generate high-quality code and automate engineering steps.
▹ Deployment: Building dockerized applications and managing multi-environment deployments.
▹ Optimization: Measuring how AI models perform (Evals) and optimizing prompts for better results.
▹ Modern Tools: Mastering the latest AI editors and plugins for maximum productivity.

I enjoy solving technical challenges and implementing modern engineering best practices.

$ npx connect --ai-expert

Initializing AI context...
Status: Ready to build.
Mode: Autonomous Agent.

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about.py

projects.md

from typing import List, TypedDict

class AIFirstEngineer(TypedDict):
    name: str
    role: str
    core_focus: List[str]
    tech_stack: dict
    methodology: List[str]

me: AIFirstEngineer = {
    "name": "Denys Kyrpota",
    "role": "AI-First Full-Stack Engineer",
    "core_focus": [
        "Native LLM Apps (MVP to Prod)",
        "Agent Orchestration (MCP)",
        "AI-Powered SDLC & CI/CD"
    ],
    "tech_stack": {
        "core": ["Python", "FastAPI", "Node.js", "React"],
        "ai": ["LLM Agents", "RAG", "Vector DBs", "MCP"]
    },
    "methodology": [
        "Standardization: 'Rules for AI'",
        "Legacy: AI-generated docs"
    ]
}

def get_mission() -> str:
    return "Augmenting human expertise with Generative AI."

Featured Project

SQL AI Agent

Advanced Text-to-SQL system for PostgreSQL databases (270+ tables). Utilizes a two-stage LLM pipeline (Table Selection + SQL Gen) and a RAG system with a knowledge base of verified queries, achieving high precision and minimizing hallucinations.

OpenAI GPT-4 RAG FastAPI PostgreSQL React

View on GitHub