Avi Alkalay is a seasoned Machine Learning Industrialization expert and software engineer with over two decades of high-tech experience and a 12-year focus on productionizing ML at scale. He designs and implements MLOps, CI/CD, IaC and model monitoring across global enterprises and startups, having led transformations that scaled single-digit models to dozens producing hundreds of daily metrics. Comfortable bridging business and engineering, he has been an architect, teacher and public speaker who translates complex requirements into auditable, maintainable systems across finance, retail and health. At Loft he pioneered an engineering paradigm for packaging, testing and comparing models that became company-wide best practice and later influenced larger projects like Xingu. Based in São Paulo, he volunteers as a data architect for social-housing NGOs, demonstrating a commitment to practical, impact-driven analytics beyond the enterprise. Obsessed with ML, mathematics and music, he brings a rare mix of deep technical craft, applied pedagogy and cross-discipline collaboration.
12 years of coding experience
19 years of employment as a software developer
Bachelor of Science Information Technology, Bachelor of Science Information Technology at Universidade Estadual Paulista Júlio de Mesquita Filho
Renascença
Specialization Data Science, Specialization Data Science at Digital House Brasil
Classes and Streamlit app to manage a diverse investment portfolio in multiple currencies, including crypto and market indexes.
Contributions:56 commits, 8 PRs, 47 pushes in 1 year 4 months
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