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Tue, April 21ArchitectureDeepTech OpsTech
Modern platforms do not scale on frameworks alone. They scale on ownership. This session explores how engineering teams in India led an end-to-end platform transformation at StoneX Group Inc., a Fortune 50 company. What set this transformation apart was not just the architecture, but the operating model. Engineers were given full lifecycle accountability, from system design and architectural decisions to production reliability and long-term scalability, and this ownership model directly shaped how the platform evolved.
Instead of focusing on short-term delivery, teams prioritised extensibility, performance boundaries, and operational clarity. Architectural choices such as domain decomposition, service boundaries, observability standards, CI/CD automation, and AI-assisted development workflows were driven by long-term scale. The session presents real examples including architectural diagrams, decision frameworks, refactoring patterns, and lessons from production, showing how ownership influences system design and engineering outcomes.
What You Will Learn
How engineering autonomy and ownership influence platform architecture and design decisions
Trade-offs involved in modernising legacy-heavy systems for long-term scalability
How AI-assisted workflows can be embedded into everyday engineering practices to improve quality and delivery
Who Should Attend
Software developers
Software architects
Platform and DevOps engineers
Engineering managers and team leads
Technology leaders driving platform transformation
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Neel Radia is a Senior Engineering Manager at StoneX Group, bringing over a decade of experience building and delivering enterprise-scale technology solutions within the financial services industry. At StoneX, he leads globally distributed engineering teams responsible for developing highly scalable, resilient platforms that power the firm’s payments and execution capabilities, while championing modern software engineering and delivery practices.
In recent years, Neel has increasingly focused on the practical adoption of AI- and data-driven engineering, exploring how intelligent automation, analytics, and emerging AI capabilities can enhance platform scalability, operational efficiency, and developer productivity. He is particularly interested in applying AI to areas such as system observability, error reduction, workflow optimization, and accelerating decision-making in complex financial systems.
Prior to joining StoneX, Neel held engineering roles at HSBC, Deutsche Bank, JPMorgan Chase, and Mphasis, where he contributed to the design and delivery of mission-critical trading, banking, and financial platforms. His experience spans the full software development lifecycle—from system architecture and hands-on development to leading high-performing teams and executing large-scale technology transformation initiatives. Neel holds a Bachelor of Engineering in Information Technology from Sardar Patel University. He is passionate about building strong engineering cultures, mentoring leaders, fostering innovation, and responsibly leveraging AI to deliver technology solutions that create measurable business impact.
