AI Engineer / Researcher

Brandon Liu

Per Aspera Ad Astra

Beijing / Kuala Lumpur

I am currently an Artificial Intelligence Engineer at Z.ai, serving as the company's first AI engineer in the Asia-Pacific region. My work centers on the global deployment and commercialization of the GLM Large Language Model and its derivative products, with a current focus on national sovereign model construction.

I have participated in or led the internationalization of the model and its product series, spanning model training, application development, and architectural design. This work involves deep collaboration with national government agencies, multinational corporations, universities, and research institutes — translating large model capabilities into practical, industry-specific solutions globally.

I hold a Bachelor's degree in Information Management and Information System from the Harbin Institute of Technology, and I am currently pursuing a Master's in Financial Big Data at Tsinghua University (School of Economics and Management / Shenzhen International Graduate School), researching large models and agentic systems. I was also admitted to the Erasmus Mundus Joint Masters Programme, and have visited Tohoku University, HKUST, and University of Malaya.

Previously, I served as an ML Algorithm Engineer at a Fortune Global 500 corporation, focusing on machine learning and data mining. My expertise covers minority language model training, edge computing, real-time communication for multimodal models, multi-agent architecture, and large model commercialization.

01

Agentic Dialogue Systems

Multi-turn dialogue systems and complex functional invocations in agentic models

02

LLM + ML + Graph Retrieval

Architectures combining large language models with machine learning and graph retrieval

03

Multimodal RTC and Multi-Agent Systems

Multimodal large models in real-time communication scenarios and multi-agent systems

04

LLM Safety

Ethical guidelines and guardrail engineering for large language models

05

LLM Commercialization in Low-Resource Languages

Commercialization of large models in low-resource language countries

2024-25

Samsung Bixby RTC and Visual-Assistant

Real-time communication and visual assistant capabilities for Samsung's Bixby AI platform, integrating multimodal large models with edge computing.

Core Member Beijing / Guangzhou
2025

National Sovereignty Infra-LLMs

Building national sovereign large language model infrastructure — model training, deployment, and sovereign AI architecture for national-level applications.

Core Member Beijing / Kuala Lumpur
2025

Agentic and Cross-System Tool Collaboration

Research on agentic architectures enabling cross-system tool collaboration, multi-agent orchestration, and autonomous function calling.

Core Member Kuala Lumpur
2024

Knowledge Graph-based Education LLM

Integrating knowledge graph retrieval with large language models for intelligent education systems.

Core Member Beijing
2023

Empowering CRM with ML Algorithms

Machine learning algorithms for CRM enhancement — lead scoring, customer segmentation, and predictive analytics.

Project Manager Nanjing
JCR Q2

Demystifying the black box: AI-enhanced logistic regression for lead scoring

Applied Intelligence, Vol. 55, 574 / 2025 / Sole Author

Oral

Applying Information Space Model Combined with Large Models to Public Governance

AP-PPN B6, 54 / 2025 / Oral Presentation

2024-

AI Engineer, Global Business Center

Z.AI (Zhipu, TsinghuaGLM) / 02513.HK

2024-

Master's in Financial Big Data

Tsinghua University, SEM and SIGS

2025

AI-Based Disaster Prediction

Tohoku University, Japan / Short-term exchange

23-24

Algorithm Engineer, Digital and IT Center

CHERY / 9973.HK / Fortune Global 500

2022

Medicine and AI

UCLA / Short-term exchange

19-23

Bachelor's in Information Management and Information System

Harbin Institute of Technology, School of Economics and Management

Graduate Industry Mentor: Li Tie, Executive Director and CFO of Li Auto