Implement and enhance knowledge base, retrieval-augmented generation, and memory-store solution components under approved architecture patterns to support scalable Generative AI, Machine Learning, Analytics and Agentic AI use cases.
Implementing real-time context stores that give Agents a way to commit into and access shared customer contexts
Build and maintain knowledge ingestion, transformation, entity extraction, embedding, indexing, and retrieval workflows using platforms such as Databricks, Python, SQL, graph databases, and vector databases, ensuring reliability, traceability, and maintainability.
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Construct multimodal semantic links across video-product, product-product, and video-video relationships to support trend understanding, product mining, AIGC generation, and content-commerce supply optimization.
Explore next-generation generative search and recommendation through full-format representation learning and SID modeling across videos, livestreams, products, and queries.
Design and develop generative algorithms tailored for high engaging, high conversion e-commerce visual creatives, solving challenges in identity-preserving and aesthetic style consistency to produce production-grade intelligent background synthesis,virtual try-on, and localised lifestyle scene generation.
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Construct multimodal semantic links across video-product, product-product, and video-video relationships to support trend understanding, product mining, AIGC generation, and content-commerce supply optimization.
Explore next-generation generative search and recommendation through full-format representation learning and SID modeling across videos, livestreams, products, and queries.
Design and develop generative algorithms tailored for high engaging, high conversion e-commerce visual creatives, solving challenges in identity-preserving and aesthetic style consistency to produce production-grade intelligent background synthesis,virtual try-on, and localised lifestyle scene generation.
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