Worked on expanding modeling and deployment capabilities in the openvinotoolkit/openvino.genai and keras-team/keras repositories, focusing on backend development and mathematical operations. Delivered LoRA support for the LTX-Video model, enhancing video generation workflows and updating documentation to reflect these changes. Implemented new functions such as cdist for pairwise distance computation and segment_min and segment_prod for advanced numerical operations in the OpenVINO backend, using Python and TensorFlow. Addressed a dynamic batch shape propagation bug in slice operations to improve compatibility, and streamlined backend consistency by removing duplicate qr implementations, contributing to more robust and maintainable machine learning infrastructure.