Julio Leonard is a machine learning and product engineer with 10+ years building and shipping high-throughput, production-grade ML and distributed systems across startups and large enterprises. He has led supply-chain forecasting at H&M—operationalizing 100k+ models globally—modernized legacy architectures into domain-driven, event-driven platforms, and improved security and resilience while building teams from scratch. His background spans real-time systems (chat, notifications), mission-critical services (auth, booking), and ML platform work (Airflow, Merlin, experimentation and FinOps) enabling faster model lifecycle and measurable cost efficiencies. A Google Cloud Professional ML Engineer and Airflow practitioner, he blends hands-on coding with architecture, hiring, and cross-team program leadership. Based in Stockholm, he also advises on low/no-code tools and climate-tech productization, showing a pattern of turning complex ideas into pragmatic, scalable products.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Institut Teknologi Sepuluh Nopember (ITS)
Exchange Student, Computer Science, Exchange Student, Computer Science at Kumamoto University
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