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.
Read moreAt Sofos, we turn retail data into revenue. Founded by industry veterans, we bridge the gap between cutting-edge AI and bottom-line impact for retailers and e-commerce brands. From prototype to production, our near-shore team combines deep ML engineering and cloud expertise to deliver demand forecasts, personalization, GenAI content, and more—solutions that boost sales, streamline ops, and create lasting competitive edges.
What sets us apart is our unique combination of ML engineering excellence and cloud infrastructure expertise, with a track record of delivering mission-critical systems across retail, e-commerce, fashion, airlines, security, and enterprise SaaS. We've helped organizations generate millions in savings and secure multiple US patents.
Beyond technical delivery, we're committed to developing your organization's AI capabilities—we mentor your staff and help you establish the processes and infrastructure needed for long-term AI success. Whether you're just starting your AI journey or looking to scale existing initiatives, Sofos provides the guidance and expertise to turn your vision into reality.
We foster a culture of innovation, ownership, and continuous growth to deliver exceptional results for our clients.
Co-founder & Principal Machine Learning Engineer
Fabrizio is a seasoned AI leader with 10+ years of experience delivering transformative AI solutions for U.S. retailers and e-commerce brands. He combines deep expertise in ML engineering, MLOps, and Data Science with a proven record of building and leading high-performing teams. His leadership drives measurable outcomes by aligning cutting-edge AI with strategic goals and by managing complex stakeholder relationships across product, engineering, and executive teams.
Recently, he led an AI-powered photo-retouching automation for an online marketplace that now processes 10 000+ images a day, covers 87 % of supply, and saves more than $2 million per year in operational costs while maintaining studio-grade quality.
Across his career he has applied AI in e-commerce, fashion, aviation, and sales organizations, securing multiple U.S. patents and millions in annual savings for clients. As a trusted advisor to VP and C-level executives, he shapes AI strategy, designs roadmaps, and oversees end-to-end machine-learning systems, whether optimizing operations, automating decisions, or opening new market opportunities.
Known for translating technical potential into business value, Fabrizio focuses on clear ROI while mitigating risk through thoughtful execution.
Co-founder & Principal Cloud Engineer
Nicolás is a cloud architect and distributed-systems expert with 10+ years of experience designing mission-critical platforms that never blink. As co-founder of Sofos AI, he turns that reliability mindset into the backbone of every AI solution we deploy—so forecasts run in real time, pricing engines scale on Black Friday, and sensitive customer data stays secure.
Proven at the highest stakes: before Sofos, Nicolás led engineering for Sibel Health, where he designed an FDA-approved, cloud-native monitoring system that streams real-time patient vitals from thousands of devices. He's also built large-scale platforms in enterprise SaaS and security, mastering microservices, event-driven architectures, and automated, zero-downtime deployments.
Across healthcare, security, and SaaS, Nicolás has:
• Architected platforms handling millions of transactions per day with 99.99 % uptime
• Automated CI/CD pipelines that cut release time from days to minutes
• Hardened cloud estates to meet strict compliance standards
Now he applies the same rigor to retail and e-commerce—ensuring that AI models scale smoothly, data pipelines stay healthy, and costs stay predictable even at peak traffic.
Passionate about sharing knowledge, Nicolás speaks on cloud architecture, AI infrastructure, and DevOps best practices, and mentors up-and-coming engineers. His mission: bridge the gap between breakthrough AI ideas and the rock-solid infrastructure required to deliver them at scale.
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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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