Sde Ii
CurrentAs a Software Development Engineer II at Amazon, I spearheaded the development of an innovative continuous IP violation discovery system leveraging cutting-edge machine learning and semantic search techniques. This groundbreaking solution enabled the proactive identification and removal of counterfeit products from Amazon's vast product catalog on a large scale.Key Achievements:- Architected and engineered the end-to-end system, integrating state-of-the-art models like CLIP for similarity search and optimized embedding generation, delivering substantial cost savings through efficient model deployment.- Implemented a high-performance discovery pipeline ingesting risk signals, performing efficient nearest neighbor searches on a massive vector index, and surfacing potential infringements to detection systems while significantly reducing memory footprint.- Optimized ML models for batch processing, enabling a substantial increase in throughput and driving a significant rise user productivity.- Collaborated cross-functionally to seamlessly integrate the system into existing IP violation detection workflows, substantially reducing manual efforts and driving considerable cost savings.Through this system and other performance optimization initiatives, I significantly enhanced Amazon's ability to identify and remove counterfeit products at scale, safeguarding intellectual property rights and maintaining a trustworthy shopping experience for customers.
