Victor Garritano is a Senior Data Scientist based in Rio de Janeiro with 11 years of experience building production-grade ML and LLM systems for HRTech and social analytics. He holds an MS in Engineering and Computer Science from UFRJ and has led end-to-end delivery of platforms that moved models from research to Kubernetes-deployed production, including RAG pipelines with pgvector and multi-provider LLM strategies. At Gupy he designed multi-agent orchestration, autonomous Text2SQL agents and observability for agents using MLflow and Datadog, enabling non-technical HR users to query analytics without SQL. His background includes building large-scale misinformation detection and NER systems for social media, and pragmatic MLOps leadership mentoring teams and negotiating platform integrations. Victor combines research-grade rigor with hands-on software engineering—often implementing custom orchestration and resilience patterns (Circuit Breaker, containerized EKS deployments) to ensure robust AI services. He is particularly skilled at translating ambiguous business problems into scalable data products that measurably reduce churn and operational friction.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Engineering and Computer Science, Master of Science - MS, Engineering and Computer Science at UFRJ - Universidade Federal do Rio de Janeiro
Contributions:3 pushes, 1 comment, 2 issues in 2 years 11 months
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