Liquid AI

Full-stack Engineer

• Architect and implement full-stack solutions for internal platforms and customer-facing products
• Design and scale backend services that enable robust ML model deployment
• Build deployment infrastructure that runs seamlessly across cloud and on-premise environments
• Develop interfaces that make complex ML systems accessible and usable
• Establish workflows that accelerate ML research-to-deployment cycles
• Collaborate closely with Product and ML teams to iterate quickly and effectively
• Contribute to shaping model architectures, scaling dev platforms, and enterprise deployments

Member of Technical Staff, Fullstack Engineer