Building Python Microservices in a Monorepo: A Comprehensive Guide
Learn how to effectively organize Python microservices within a GitHub monorepo, from architecture design to deployment strategies.
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At Sofos, we transform businesses through strategic AI implementation that delivers measurable results. Founded by industry veterans with decades of combined experience, we bridge the gap between AI and real-world business outcomes. Our approach is built on deep technical expertise and a relentless focus on ROI, combining proven methodology with expert execution. From prototype to production, we partner with you to develop and deploy AI solutions that create lasting competitive advantages.
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Co-founder & Principal Machine Learning Engineer
A seasoned leader with 10 years of experience in AI consulting, delivering transformative solutions for Fortune 500 companies. Fabrizio combines deep technical expertise in MLOps, forecasting, and computer vision with a proven track record of building and mentoring high-performing ML teams. His leadership style emphasizes driving substantial business value through innovative solutions while expertly managing complex stakeholder relationships across product, technology, and executive teams.
His projects have yielded multiple US patents and generated millions in annual savings for clients. As a trusted advisor to VP and C-level executives, he has shaped AI strategies and roadmaps across organizations, while building and implementing end-to-end machine learning solutions that create new revenue streams or optimize operational processes.
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Bringing over a decade of expertise, Nicolás excels as a software engineer and cloud architect, crafting high-performance, scalable backend solutions. As a co-founder of Sofos AI, he leverages his deep expertise in cloud infrastructure, AI-driven automation, and distributed computing to create cutting-edge solutions that drive business transformation.
Before founding Sofos AI, Nicolás held leadership roles in multiple tech companies, including Sibel Health, where he designed and built an FDA-approved cloud-based monitoring system for real-time patient tracking. He has extensive experience working with cloud platforms, microservices, and event-driven architectures, with a strong focus on reliability, security, and performance.
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When he's not coding or architecting systems, Nicolás enjoys long-distance running and exploring the intersection of philosophy and technology.
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Learn how to effectively organize Python microservices within a GitHub monorepo, from architecture design to deployment strategies.
Read moreBuilding a production MLOps pipeline on GCP with Kubeflow, Vertex AI, and Terraform for automated model training, evaluation, and deployment.
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