
Hugo H
AI Automation Developer Claude Code AI Agents Web Applications
Habilidades

Conheça meus serviços


Experiência profissional
Claude Code Agent Developer | Market Research, Paper Trading, MCP & Multi-Agent AI
Agent Monkey • Freelance
Jun 2026 - Jul 2026 • 1 mo
Built a Claude Code multi-agent research environment for a client experimenting with automated market analysis and paper-trading workflows. Claude Code handled research scripts, data processing, strategy-testing code, and report generation while separate agents reviewed research assumptions and produced independent analysis. MCP connected approved data and analysis tools, while scheduled jobs refreshed market information and generated recurring reports. The system recorded simulated decisions and results so the client could compare strategies over time without connecting the workflow to live-money execution. I also created validation steps, separate research roles, and human review checkpoints so generated strategy ideas could be tested before being accepted into the paper environment. keywords Claude Code, Claude Code agent, Claude Code automation, Claude Code finance, Claude Code research agent, Claude Code multi-agent, Claude Code subagent, Claude Code MCP, Claude Code MCP server, Claude Code skills, Claude Code workflow, Claude Code automation workflow, Claude Code API, Claude Agent SDK, Claude Code scheduled tasks, Claude Code AI agent, AI research agent, market research automation, finance research agent, multi-agent research, AI strategy research, paper trading automation, paper trading agent, market monitoring agent, financial data automation, MCP automation, agent orchestration, AI workflow automation, autonomous research agent
Claude Code Agent Developer | Web Scraping, Browser Automation, MCP & AI Research
IntelePeer • Freelance
Jun 2026 - Jun 2026 • 0 mos
Built a Claude Code browser-research workflow for a client that needed recurring data collection from approved websites and online sources. I used Claude Code as the development and orchestration layer, connected browser and external tools through MCP, and created reusable scripts for extraction, normalization, validation, and structured reporting. The workflow could collect new information on a schedule, compare it against previous results, identify meaningful changes, and prepare a clean report for review. I also created reusable prompts and task instructions so the research process could be repeated across different sources. The final system reduced repetitive browser research and gave the client a more consistent way to transform raw web information into structured business intelligence. keywords Claude Code, Claude Code agent, Claude Code automation, Claude Code browser automation, Claude Code web scraping, Claude Code research agent, Claude Code MCP, Claude Code MCP server, Claude Code tools, Claude Code skills, Claude Code workflow, Claude Code web agent, Claude Code browser agent, Claude Code automation workflow, Claude Code AI agent, Claude Code developer, Claude Code CLI, Claude Code API, Claude Agent SDK, AI browser agent, AI web scraping, AI research agent, browser automation, web scraping automation, MCP automation, MCP browser, browser research automation, autonomous AI agent, AI workflow automation
Hermes Agent Developer | Multi-Agent Research, MCP, Skills, Memory & Automation
Rakuten Viki • Freelance
Jun 2026 - Jun 2026 • 0 mos
Built a Hermes Agent multi-agent research workflow for a client that needed continuous information gathering, analysis, and structured reporting. I configured Hermes Agent with specialized agent skills, persistent memory, tool integrations, scheduled research jobs, and task routing between agents. Separate workflows handled research collection, source analysis, summarization, validation, and report generation before delivering the final output. MCP-connected tools gave the agents access to external services while memory allowed recurring research tasks to retain useful context between sessions. I also created reusable skills and scheduled jobs so the system could perform the same research process repeatedly without rebuilding the workflow each time. The result was a structured multi-agent research system capable of handling recurring information tasks with less manual effort. keywords Hermes Agent, Hermes AI Agent, Hermes Agent setup, Hermes Agent automation, Hermes Agent developer, Hermes Agent skills, Hermes Agent memory, Hermes Agent MCP, Hermes Agent MCP server, Hermes Agent multi-agent, Hermes Agent multi agent workflow, Hermes Agent orchestration, Hermes Agent subagents, Hermes Agent research agent, Hermes Agent research automation, Hermes Agent scheduled tasks, Hermes Agent skills, Hermes Agent workspace, Hermes Agent desktop, Hermes Agent CLI, Hermes Agent API, Hermes Agent tools, Hermes Agent Docker, Hermes Agent automation workflow, Hermes AI automation, AI research agent, multi-agent AI, multi-agent workflow, agent orchestration, agent memory, AI workflow automation, autonomous AI agent, MCP automation, MCP integration