Hriday Chhabria developed and optimized iOS model allowlists for LLM inference within the google-ai-edge/gallery repository, focusing on deployment readiness and secure, scalable mobile inference. He implemented JSON-based configurations to detail model capabilities and requirements, ensuring seamless integration with iOS workflows. In the following month, Hriday enhanced accessibility by updating memory requirements, broadening compatibility for lower-spec iPhones and iPads. His work leveraged skills in AI model deployment, machine learning, and iOS development, addressing hardware variability and improving user adoption potential. Over two months, Hriday delivered two targeted features, demonstrating depth in model optimization and practical application of configuration management.