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Built end-to-end AI agent infrastructure that cuts a multinational's support payroll by ~US$18K/month, orchestrating LLM workflows with RAG, channel integrations, and structured human handoff from scratch. Experienced deploying LLM-powered agents and ML models into production systems, translating stakeholder requirements into autonomous scalable solutions that perform at volume. Focused on real-world automation: reducing mean first response time by ~60% by replacing queues with instant agent responses backed by a RAG knowledge base, while routing out-of-scope cases to humans through structured handoff mechanisms.…Built end-to-end AI agent infrastructure that cuts a multinational's support payroll by ~US$18K/month, orchestrating LLM workflows with RAG, channel integrations, and structured human handoff from scratch. Experienced deploying LLM-powered agents and ML models into production systems, translating stakeholder requirements into autonomous scalable solutions that perform at volume. Focused on real-world automation: reducing mean first response time by ~60% by replacing queues with instant agent responses backed by a RAG knowledge base, while routing out-of-scope cases to humans through structured handoff mechanisms.

Henrique Targino de Albuquerque

AI Engineer, Data Scientist, Programmer, +2

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Built end-to-end AI agent infrastructure that cuts a multinational's support payroll by ~US$18K/month, orchestrating LLM workflows with RAG, channel integrations, and structured human handoff from scratch. Experienced deploying LLM-powered agents and ML models into production systems, translating stakeholder requirements into autonomous scalable solutions that perform at volume. Focused on real-world automation: reducing mean first response time by ~60% by replacing queues with instant agent responses backed by a RAG knowledge base, while routing out-of-scope cases to humans through structured handoff mechanisms.…Built end-to-end AI agent infrastructure that cuts a multinational's support payroll by ~US$18K/month, orchestrating LLM workflows with RAG, channel integrations, and structured human handoff from scratch. Experienced deploying LLM-powered agents and ML models into production systems, translating stakeholder requirements into autonomous scalable solutions that perform at volume. Focused on real-world automation: reducing mean first response time by ~60% by replacing queues with instant agent responses backed by a RAG knowledge base, while routing out-of-scope cases to humans through structured handoff mechanisms.

Available to hire

Built end-to-end AI agent infrastructure that cuts a multinational’s support payroll by ~US$18K/month, orchestrating LLM workflows with RAG, channel integrations, and structured human handoff from scratch. Experienced deploying LLM-powered agents and ML models into production systems, translating stakeholder requirements into autonomous scalable solutions that perform at volume.

Focused on real-world automation: reducing mean first response time by ~60% by replacing queues with instant agent responses backed by a RAG knowledge base, while routing out-of-scope cases to humans through structured handoff mechanisms.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Beginner

Beginner

Language

English

Advanced

Portuguese

Fluent

Work Experience

AI Engineer - Shift Labs at Shift Labs

June 1, 2026 - Present

Built an LLM + RAG agent infrastructure for first-line support in a multinational, cutting the operation's payroll by ~US$18K/month. Scaled to thousands of tickets/month with agents resolving most issues autonomously and routing out-of-scope cases to human agents via structured handoff. Reduced mean first response time by ~60% by replacing the human queue with instant agent responses backed by a RAG knowledge base.

Data Scientist - Shift Labs at Shift Labs

December 1, 2025 - June 1, 2026

Integrated an LLM agent with a recommendation model using PydanticAI, reducing cost and latency with embeddings and vector search. Deployed a restaurant recommendation model that drove +7% revenue growth through automated upsell in production. Developed Python pipelines to auto-convert client spreadsheets into analytical dashboards.

Data Science Intern - Shift Labs at Shift Labs

September 1, 2025 - November 1, 2025

Designed and maintained 30+ automation workflows across Slack, Notion, WhatsApp, Typeform, and generic webhooks, saving ~10 hours/week of manual work.