Samuel Heinrichs is a Machine Learning Engineer with 11 years of experience building production-ready AI systems and leading teams across startups and consulting engagements from São Paulo. He currently enhances AKBot at ArionKoder, improving Retrieval-Augmented Generation and Slack integrations to make company knowledge more accessible. Previously at Capgemini he delivered GenAI proofs of concept—like a multi-step SQL generator and an intelligent call-handling agent—leveraging LangChain, LLMs, GCP and Python. As Head of AI and CTO at N2B Brasil he architected scalable data infrastructure (BigQuery, DBT, Airflow), boosted app ratings through personalized meal-planning models, and cut verification time by 86%. Comfortable switching between hands-on engineering and strategic architecture, he brings a pragmatic focus on user impact and operational efficiency when moving ML prototypes into production.
11 years of coding experience
5 years of employment as a software developer
Postgraduate Degree, Artificial Intelligence, Postgraduate Degree, Artificial Intelligence at São Paulo Tech School - SPTech
Contributions:24 commits, 25 pushes, 1 branch in 1 year 7 months
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Samuel Heinrichs - Machine Learning Engineer at Arionkoder