Ygor A.
AI Engineer | Claude Code, AI Agents & MCP | RAG, Python, AI OS
I build AI agents that work. I connect AI-powered agents to your CRM, databases and APIs, turn company documents into source-backed answers, and help AI-built apps reach production. 🏆 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 ✅ 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 5+ years in applied AI. 🚀 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 🤖 AI Agents & MCP Integrations: Connect Claude to your CRM, SQL databases and APIs. Start with one workflow, with clear permissions, human approval for consequential actions and execution logs. 🏢 RAG & Company Knowledge: Search business documents and return answers with supporting sources, so your team can inspect where an answer came from. 🧠 AI Apps & Production Readiness: Build Python/FastAPI and Next.js applications, or review an app built with Lovable, Bolt, Cursor, Claude Code or Codex. Focus on authentication, data access, deployment and LLM costs. 🎬 AI Video Pipelines: Automate a repeatable video workflow with Python, supported generation APIs and Remotion. Agree on the format, provider and review step before expanding. 🔌 Claude Workflow Consulting: Choose between Claude Code, Cowork, MCP, Skills and the Agent SDK, and leave with a practical architecture and a first milestone. 🛒 Business Operations: Connect orders, inventory, spreadsheets and internal tools, including Shopify, Square and CRM workflows. 📈 𝐏𝐫𝐨𝐨𝐟 𝐨𝐟 𝐖𝐨𝐫𝐤 • Langflow Agents Flows: 170 hours, $10,200 and a 5/5 client review in my Upwork work history. • Upwork MCP beta testing: Completed a paid enterprise-client engagement testing the official MCP server, with a 5/5 review. • Company OS with Hermes: An internal YAITEC implementation connecting team knowledge, scheduled routines, agent workflows and Kanban. See the portfolio case. • Claude consultations: A previous client wrote, "Great consultation on plan for agentic ai workflow thanks!!" 🛠️ 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐞𝐝 𝐈𝐧 ● Agents & Knowledge: Claude, MCP, RAG, LangGraph, LangChain, SQL agents ● Coding & Workflows: Claude Code, Codex, Cowork, Skills, Agent SDK ● Backend & Data: Python, FastAPI, PostgreSQL, Supabase, pgvector ● Apps & Deployment: TypeScript, React, Next.js, Docker ● Company OS: Hermes, OpenClaw, persistent context and scheduled workflows 𝐇𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤 1. Map the workflow, existing tools and acceptance criteria. 2. Agree on a paid audit or a small implementation milestone. 3. Test with realistic examples, review results and add logging and documentation. 4. Deploy, hand off the source code and discuss maintenance if needed. ⚡ Send me the workflow you want to improve, the tools involved and what is blocking you. If you already have an app, include the stack and the issue. I will help you define a clear first step.
Earnings and projects
Last 6 months ÷ 6
Last 6 months: $252
Billed in all: $129,303$129k
$84 in the last 6 months
Across 71 contracts
Earnings, last 30 days
Skill rankings: Top 34% in Python
Ranked by MRR among everyone on Upwork with the skill.
- #158LangGraph299 freelancers · 🇧🇷 #1Top 53%🇧🇷#1 of 2
- #226Model Context Protocol (MCP)413 freelancers · 🇧🇷 #4Top 55%🇧🇷#4 of 6
- #442Claude Code818 freelancers · 🇧🇷 #4Top 54%🇧🇷#4 of 8
- #1,133AI Automation2,024 freelancers · 🇧🇷 #5Top 56%🇧🇷#5 of 9
- #1,240Large Language Model2,726 freelancers · 🇧🇷 #8Top 45%🇧🇷#8 of 19
- #1,772LangChain3,821 freelancers · 🇧🇷 #15Top 46%🇧🇷#15 of 26
- #1,814Retrieval Augmented Generation3,618 freelancers · 🇧🇷 #5Top 50%🇧🇷#5 of 18
- #2,012FastAPI4,337 freelancers · 🇧🇷 #19Top 46%🇧🇷#19 of 42