Multithread effectively and personalize outreach to convert deals faster
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Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Jean-Eudes Leroy is a highly accomplished Principal Software Architect based in Paris, France, with over 12 years of dedicated experience in designing and implementing scalable, high-performance software solutions for complex business challenges. He possesses deep expertise in distributed systems, cloud-native architectures (AWS, Azure), and microservices, with a strong focus on backend development using Java, Python, and Go. Jean-Eudes is passionate about clean code, agile methodologies, and fostering collaborative, high-performing engineering teams. He is a recognized thought leader in API design and has a proven track record of delivering robust and innovative products that drive significant business impact. Outside of his core technical responsibilities, Jean-Eudes is an advocate for open-source and enjoys mentoring junior engineers.
Jean-Eudes Leroy's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully led the architectural redesign and migration of a monolithic e-commerce platform to a microservices-based architecture on AWS, resulting in a 60% improvement in system scalability and a 40% reduction in operational costs.
Co-invented and developed a patented real-time data processing and analytics engine capable of handling over 1 million events per second, significantly enhancing business intelligence capabilities for a Fortune 500 client.
Key contributor to the popular open-source 'FluxFlow' library for reactive programming, with contributions adopted by thousands of developers worldwide, enhancing the library's performance and feature set.
Presented a well-received talk on 'Pragmatic Microservices: Lessons from the Trenches' at Devoxx France 2023, sharing insights and best practices with the international developer community.
INSEAD - Year 2013
Harvard Business School - Year 2009
China Europe International Business School (CEIBS) - Year 1999
Institut d'études politiques de Rennes - Year 1992
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Nami ML (nami.ai) offers a smart paywall and subscription management platform for mobile applications. From an end-user perspective, this means that when you use an app powered by Nami, the way subscriptions or premium features are offered to you might be more personalized and intelligent. Nami helps app developers test different offers, prices, and designs for their paywalls, using machine learning to figure out what works best to encourage users to subscribe, without being overly intrusive. This ultimately aims to make the process of accessing paid features smoother and more relevant to your needs as a user.
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