Yanilson Moreno ramos

AI/ML Engineer with 1+ year of hands-on production experience designing and deploying enterprise-grade AI systems integrating Claude, GPT-4, and open-source LLMs into real business workflows. Specialist in building custom AI automations, RAG pipelines, and agentic systems using n8n, Python, and REST APIs. Proven track record deploying LLM-powered chatbots, document automation, and workflow optimization systems for enterprise clients.

Strong written communication with emphasis on clear technical documentation enabling client independence post-deployment. Self-driven builder with ownership mentality, working autonomously in fast-paced startup environments and delivering production-ready solutions that directly impact business KPIs.

AI/Agent Architectural Engineering at Tesoro AI (2025-09 – Present)

Design, build, and deploy enterprise-grade LLM-powered systems transforming business workflows into intelligent, scalable automation pipelines. Direct hands-on integration of Claude, GPT-4, and Gemini into production systems with client-facing delivery mindset.

• LLM Integration at Scale: Integrated Claude, GPT-4, and Gemini APIs into enterprise workflows; built error handling, monitoring, and cost optimization for production reliability
• RAG Pipeline Development: Designed end-to-end RAG systems using Supabase pgvector and OpenAI embeddings; deployed enterprise chatbots answering internal knowledge queries with high precision
• Workflow Automation with n8n: Built complex n8n workflows combining LLM APIs, REST integrations (Google Workspace, Slack, Apollo), and custom logic; orchestrated multistep processes with conditional branching and error recovery
• Custom Python Automation: Developed Python scripts for document processing, data enrichment, and API integration; built data validation pipelines and ETL systems
• Documentation for Client Independence: Created comprehensive system architecture documentation, deployment guides, and maintenance procedures enabling clients to operate systems post-handoff
• Client Collaboration: Worked directly with stakeholders to understand requirements, propose technical solutions, and communicate progress; collaborated with product teams on scoping and delivery
• Impact: Reduced operational time through complete automation; improved data quality via validation pipelines; enabled real-time KPI tracking; deployed multiple systems to production

AI Growth Fellow – Automation & AI Engineering at Tesoro AI (2025-06 – 2025-09)

Built AI-powered automation systems for data enrichment, lead operations, and marketing workflows. Foundation experience with n8n, LLM APIs, and multi-step workflow design.

• n8n Workflow Development: Designed workflows with complex conditional logic, API integrations, and error handling; built data enrichment pipelines with quality validation
• LLM-Based Decision Systems: Integrated LLMs for lead classification, content generation, and automated decision support within workflows
• Automation Results: Reduced campaign operation time; improved lead data quality; enabled real-time KPI tracking; collaborated in Agile team with full module ownership

Bachelor of Science in Software Engineering – Institución Universitaria ITM (2024 - present)