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Yuliu Pantya

Production-grade AI agents. Python · FastAPI · MCP · brief-before-code
Offer Yuliu work on your next project.

Moldova Kishinev, Moldova
18 days 18 hours back
Available for hire available for hire
age 39 years
on the service 21 days 19 hours
  • MCP ID
  • grafana
  • prometheus
  • asyncpg
  • LLM
  • Langchain
  • RAG
  • python
  • fastapi
  • docker
  • telegram bot
  • PostgreSQL
  • AI
  • Anthropic API
  • claude-code

Rating

Successful projects
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Average rating
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Rating
200
AI & Machine Learning
646 place out of 2853
Python
1532 place out of 4456

Language proficiency level

Русский Русский: fluent
English English: upper-intermediate
Română Română: pre-intermediate

CV

  I build AI agents for business — Python/FastAPI/PostgreSQL, integrations with

  CRM, databases, banks, internal APIs. Not «yet another chatbot»: production-grade

   systems.


  One year of production: a financial platform for a 50+ person service business

  (5000+ operations per month), IoT observability with Prometheus and Grafana,

  custom MCP servers connecting Claude to internal data.


  Stack: Python, FastAPI, asyncpg, Docker, Claude Code, MCP, RAG.

  

  Method: brief-before-code, pre-commit validation, scope defined in writing before

   development.

  

  Work format: fixed-price packages for scoped projects, or hourly for iterations.

  First call is 15 minutes to align on stack, current state, and priority.

Skills and abilities


Outsourcing & consulting

Portfolio


  • bw_finance — production AI-powered financial platform for SMB

    Python
    Production-grade financial management platform for a service business with 50+
    employees, processing 5000+ operations per month.

    Stack: Python, FastAPI, asyncpg, PostgreSQL, Docker.

    What's inside:
    — Integrations with bank, CRM, cash, crypto and OFD receipts
    — Append-only operations journal with P&L by segment
    — Payroll automation
    — Custom MCP server giving Claude scoped access to PostgreSQL and Docker over SSH
    — Anomaly alerts via Telegram

    Outcome: 15 hours per week saved for the owner, bank reconciliation in 5 minutes
    (was 1–3 days), zero payroll errors, P&L available 24/7.

    Method: brief-before-code, pre-commit validation, scoped iterations with clear
    non-goals.

    #python #fastapi #postgresql #docker #claude #mcp #finance #automation #crm