Introducing Stellaris AI CTO Dr. Liam Ning
Dr. Liam Ning, current Chief Technology Officer at Stellaris AI Limited, is an accomplished leader with a prodigious track record in the field of High-Performance Computing (HPC) and Artificial Intelligence (AI). Combining deep technical mastery with an extensive range of business experience, he brings a unique perspective to the table in both AI technology and commercialization.
Dr. Ning obtained his Ph.D. in Computer Science from the University of Hong Kong in August 2013. From August 2013 to November 2015, he served as a Postdoctoral Researcher at SIAT. His work here encompassed pioneering research on the optimization of network bargaining games, the advancement of fault-tolerant network topologies, and the exploration of rapid convergence strategies for consensus in dynamic networks.
As CTO of Shenzhen ChoirTech Technology Ltd (Nov 2015 - Apr 2019), Dr. Ning was a pivotal driver of the company's technological growth. He led innovative research into multi-robot navigation to enhance efficiency in high-density environments and advanced the field of swarm intelligence by designing algorithms for decentralized, self-organized AI systems. He also improved large-scale data processing operations, leveraging his expertise to extract valuable insights from vast amounts of data. Finally, he developed a comprehensive industrial robot simulation platform using 3D virtual technology, enhancing capabilities in robot path planning, obstacle avoidance, and posture optimization.
As a Founding Core Team Member at Cosmos AI Ltd (Nov 2017 - Apr 2019), Dr. Ning pioneered numerous transformative technologies. He developed cutting-edge machine vision systems, which drastically increased industrial automation efficiency. His unique 3D vision guidance system for robots revolutionized precision control in 6-axis robot operations, and his innovative deep learning classification system greatly improved product quality control. In addition, he designed a 3D vision inspection system that enhanced the accuracy of identifying defects using high-speed 3D scanning of workpieces.
Throughout 2019 to 2023, Dr. Ning held several academic roles where he brought his AI expertise to the forefront in these roles, driving cutting-edge research in distributed AI systems and applying this knowledge to real-world challenges.
In his current role at Stellaris AI, Dr. Ning continues to apply his extensive AI and HPC expertise. He pioneered the conception and successful implementation of proprietary Large Language Models (LLMs), and oversaw the design and operational optimization of the company's A/H100 GPU farms. His contribution to the deployment of innovative optimization techniques for LLM training, inferencing, and deployment processes sets Stellaris AI apart in the competitive AI landscape.
Dr. Ning's professional experience and commitment to optimizing the use of computing resources make him an invaluable asset for Stellaris AI and the broader AI community. His work in building the SGPT training, fine-tuning framework, and inferencing/deployment system underlines his technical acumen and his commitment to the commercialization of AI. His vision continues to drive Stellaris AI's ambitious plans for the AGI era, firmly positioning the company to thrive in the competitive landscape of AI technology.