Open to opportunities

Henrique Camargo

@henriquecamargo

Message

I build production GenAI agents and RAG systems on AWS, turning complex data into reliable, compliant outcomes.

Brazil

Message

What I'm looking for

I’m looking to build and scale production GenAI agents on AWS, RAG, evals, and guardrails included, where I can own end-to-end delivery, collaborate with strong engineers, and grow systems that are fast, compliant, and measurable.

I’m a GenAI engineer shipping production AI agents on AWS Bedrock and AgentCore at a regulated Brazilian credit bureau (SPC Brasil), where I built an agent pipeline serving 700+ sales reps with real-time coaching and recommendations.

I specialize in RAG, from Naive and Advanced (pre/post-retrieval reranking) to Agentic and GraphRAG, then govern those systems with structured outputs, evals, and guardrails to meet latency and compliance constraints.

I also bring hands-on builder energy from founding Smart Surto, where I shipped an outbreak-forecasting platform using Random Forests and deployed the full ML stack solo on AWS, plus I created ImportKit (4,200 users) to streamline sourcing workflows.

Experience

Work history, roles, and key accomplishments

Current

GenAI Engineer (Agents & RAG)

Current

SPC Brasil

Sep 2025 - Present (7 months)

Shipped a production agent pipeline on AWS Bedrock and AgentCore, serving 700+ SPC sales reps with real-time coaching, sales playbooks, and upsell recommendations. Designed and evaluated Naive, Advanced (reranking), Agentic, and GraphRAG solutions with structured outputs, evals, and guardrails, and mentored 3 junior engineers.

AgentCore MCP Servers Sub Agent Orchestration Structured Outputs Claude Code

Founder & ML Engineer

Smart Surto

Jan 2025 - Jun 2025 (5 months)

Built an outbreak-forecasting platform using Random Forest classifiers on Brazilian national health data and evaluated performance with F1-score and AUC. Deployed the full end-to-end ML stack solo on AWS (S3, Lambda, EC2) from ingestion and feature engineering to inference and web delivery.

Random Forest Outbreak Forecasting Feature Engineering AWS S3 AWS Lambda AWS EC2 Model Training Model Inference ML Evaluation (F1

Investment Advisor

XP Investimentos

Oct 2023 - Sep 2024 (11 months)

Analyzed macroeconomic and market indicators to identify investment patterns and track portfolios using quantitative return, risk, and diversification metrics. Translated complex quantitative data into strategic, client-ready recommendations in a regulated financial environment.

Macroeconomic Analysis Diversity Metrics Investment Recommendations Data Storytelling