Alexandre Furlan
Data Platform Specialist - MLOps & LLMOps
Minas Gerais, Brazil
Summary
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Senior🎓
Top SchoolAlexandre Furlan is a Data Platform Specialist focused on MLOps and LLMOps with nine years of experience bridging computational physics and production data engineering. With a PhD in statistical and computational physics, he applies rigorous modeling and HPC sensibilities to design scalable data platforms using Databricks, PySpark, Airflow, Terraform, Kubernetes and cloud services (Azure/AWS). He has led platform teams at AB InBev to deliver secure Delta Sharing, automation frameworks that integrate Jira with IaC, and cost/observability-focused data orchestration across multi-cloud environments. Comfortable both mentoring teams and writing low-level high-performance code (Python, C/C++, CUDA, Fortran), he moves projects from research prototypes to resilient, governed production systems. Based in Minas Gerais, Brazil, he combines an academic publication record with active engagement in data science and AI, often translating Monte Carlo and statistical mechanics intuition into practical ML/LLM operational patterns.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at Federal University of Rio Grande do SulBachelor's and Licentiate degre Physics, Bachelor's and Licentiate degre Physics at Universidade Federal do Paraná
Stackoverflow
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Programming languages (1)
Github contributions (5)
apfurlan/PPJ_react_dashboard
Aug 2022 - Aug 2023
Contributions:8 PRs, 15 pushes, 29 branches in 1 year
apfurlan/CPH_lattice_simulation_tools
Nov 2020 - Aug 2023
Contributions:13 pushes, 1 branch in 2 years 9 months
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