• Contributed to scaling a machine learning platform from MVP to first commercial release, delivering full-stack features as part of a cross-functional engineering team.
• Designed and implemented production REST APIs with Python using best practices including versioning, OpenAPI documentation, authentication, rate limiting and structured error handling.
• Co-developed Python SDK v2, improving developer experience and enabling faster integration for client applications.
• Improved platform scalability by co-architecting a cloud-native storage architecture and introducing abstraction layers that enabled faster feature development.
• Built backend services supporting GPU-accelerated ML workloads deployed through serverless cloud infrastructure.
• Applied Bayesian statistical methods and collaborated with ML engineers to improve modelling tools integrated into the platform.
