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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
1 month 8 days back
Available for hire available for hire
age 39 years
on the service 1 month 11 days
  • 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
697 place out of 2915
Python
1613 place out of 4514

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