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Gregory Liu

Gregory Liu


AI Research Scientist
San Jose, California, United States

Professional Overview


Gregory Liu is an accomplished AI Research Scientist with extensive experience in developing innovative deep learning solutions for enterprise-level applications. With a strong background in cloud computing, software engineering, and technical support, he brings a diverse skill set to his current role at Cisco. Gregory's expertise lies in designing and optimizing complex neural network architectures, leveraging large datasets to drive AI-powered insights, and collaborating cross-functionally to deliver impactful AI-driven projects.

Experience Summary



Current Role


AI Research Scientist, Cisco (2019-01-01 to Present)
  • Spearheading the development of advanced deep learning models for Cisco's cloud-based networking and security products

  • Conducting research on emerging AI techniques, such as generative adversarial networks and meta-learning, to enhance the company's competitive edge

  • Collaborating with cross-functional teams to integrate AI-powered capabilities into Cisco's suite of enterprise solutions

  • Achieving a 25% increase in the accuracy of Cisco's flagship anomaly detection system through the implementation of novel deep learning architectures


Career Progression


Cloud Computing Specialist, Cisco (2017-01-01 to 2019-01-01)
  • Designed and implemented scalable cloud infrastructure solutions to support Cisco's growing portfolio of cloud-based services

  • Played a key role in the migration of legacy on-premises applications to the cloud, resulting in a 30% reduction in operational costs

  • Provided technical support and training to Cisco's global customer base, earning a customer satisfaction rating of 4.8 out of 5


Technical Support Engineer, Cisco (2014-01-01 to 2017-01-01)
  • Troubleshot and resolved complex software and hardware issues for Cisco customers, maintaining a first-call resolution rate of 85%

  • Contributed to the development of knowledge base articles and training materials to improve the efficiency of the support team


Software Engineer, Facebook (2011-01-01 to 2014-01-01)
  • Developed and optimized high-performance web applications using Java, React, and other cutting-edge technologies

  • Collaborated with product managers and designers to deliver user-centric features that enhanced the Facebook user experience


Academic Background


Gregory holds a Master of Science in Computer Science from the University of California, Berkeley, where he specialized in machine learning and artificial intelligence. He graduated with a cumulative GPA of 3.9 and was recognized for his outstanding academic achievements, including the prestigious Regent's Scholarship.

Areas of Expertise


  • Deep learning model design and optimization

  • Convolutional neural networks for computer vision

  • Recurrent neural networks for natural language processing

  • Unsupervised learning techniques, such as GANs and autoencoders

  • Cloud architecture and infrastructure management

  • Software engineering and full-stack development


Professional Impact


  • Developed a deep learning-based anomaly detection system that has been deployed across Cisco's global network, resulting in a 25% improvement in accuracy and a 15% reduction in false positives

  • Authored and co-authored several research papers on novel deep learning architectures, which have been published in prestigious AI and machine learning conferences

  • Presented cutting-edge AI research at industry events, contributing to the advancement of the field and strengthening Cisco's thought leadership


Conclusion


Gregory Liu is a highly skilled AI Research Scientist with a proven track record of delivering innovative deep learning solutions that drive business impact. His diverse background in cloud computing, software engineering, and technical support, combined with his strong academic credentials and research experience, make him a valuable asset to Cisco's AI-powered initiatives. Gregory is committed to pushing the boundaries of what is possible with artificial intelligence and continues to make significant contributions to the industry.