United States
I am an AI leader and machine learning executive with over 8 years of experience driving innovation at Amazon and Google. Currently, I serve as the Senior Manager of Artificial Intelligence at Amazon, where I lead a 15-person team dedicated to redefining the company's supply chain and logistics through cutting-edge ML solutions. My career is defined by a passion for translating complex research into tangible business outcomes. I have led initiatives spanning Natural Language Processing (NLP) and Computer Vision (CV) to automate decision-making, and I have a deep track record in deploying deep learning models—from optimizing Google Search ranking algorithms to building recommendation systems that increased user engagement by 20%. I believe in building high-performance teams by bridging the gap between technical roadmaps and strategic business goals. My foundation was laid at IBM, where I contributed to the early infrastructure of Watson, giving me a unique perspective on large-scale distributed systems that I now apply to solve complex challenges in the AI space. I am currently focused on harnessing the power of generative AI and advanced machine learning to build the next generation of intelligent, automated systems.
Leads a 15-person artificial intelligence team responsible for developing and applying machine learning models to optimize Amazon's supply chain and logistics systems. Led multiple AI projects, including natural language processing (NLP) and computer vision (CV) applications, improving the accuracy and efficiency of automated decision-making systems. Collaborated with cross-functional teams to drive the implementation of AI solutions.
Managed a team of eight machine learning engineers, focusing on recommendation systems and personalization algorithms. Successfully deployed deep learning models into production, increasing user click-through rates by 20%. Responsible for the team's technical roadmap planning and talent development, enhancing the team's overall technical capabilities.
Designed and developed machine learning models based on TensorFlow and PyTorch to predict user behavior and needs. Optimized model training and inference processes. Collaborated with data engineers to build a scalable real-time analytics data pipeline.
Participated in the Google Search ranking algorithm optimization project, using deep learning and reinforcement learning techniques. Developed a machine learning model for anomaly detection, improving system stability and security.
As a core developer, I participated in building the early infrastructure and data processing components of IBM Watson. Responsible for implementing and optimizing information retrieval and feature extraction algorithms to provide support for the question-answering system. He has accumulated profound experience in large-scale data processing and distributed system development, laying a solid foundation for his future career development.