Summary
Victor Barbosa is a data scientist and engineer with 8 years of experience designing and operationalizing AI solutions across enterprise and global teams, currently advancing work at DHARMA-AI. He has built end-to-end Lakehouse architectures and production ML pipelines (BigQuery, Vertex AI, Airflow, MLflow) and led fraud detection, churn and segmentation models for AB-InBev that delivered measurable business impact. Experienced in both traditional and generative AI, he implements multimodal and LLM-based systems—having developed a multi-agent chatbot for natural-language data analysis using Gemini, LangChain and vector stores. Victor pairs hands-on engineering (PySpark, Pandas, Feature Stores, Terraform, Docker) with research: pursuing an MSc focused on Small Visual Language Models for digital pathology. Based in Pernambuco, Brazil, he blends production-grade cloud expertise with a curiosity-driven, research mindset—“just a nerd” who ships robust, cost-optimized data products.
8 years of coding experience
Mestrado em Ciências da Computação, Aprendizado de Maquina e Mineração, Mestrado em Ciências da Computação, Aprendizado de Maquina e Mineração at Centro de Informática UFPE
Bacharelado em Engenharia, Engenharia de Computação, Bacharelado em Engenharia, Engenharia de Computação at Universidade Federal do Vale do São Francisco - Univasf