Available to hire
I am a PhD-qualified data scientist with solid knowledge and practical experience in data analysis, machine learning, and deep learning. I specialize in conceptualizing, designing, and executing machine learning projects using a diverse array of programming frameworks, big data technologies, and cloud platforms.
With extensive experience across various sectors including retail and software, I have worked on building recommendation systems and AI-driven workflows, demonstrating proficiency in advanced ML models and cloud infrastructure. I enjoy applying cutting-edge AI techniques to solve complex problems and deliver impactful business solutions.
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Work Experience
Implementer of LLM Applications
August 1, 2023 - PresentDeveloped LLM applications including Hybrid RAG, Adaptive RAG, Agentic RAG, and agentic workflows using models such as DeepSeek and Llama. Focused on advanced AI agentic workflows and fine-tuning of large language models from August 2023 to the present.
Data Scientist (contract) at Woolworths Group - WooliesX
July 31, 2023 - August 27, 2025Worked on developing and maintaining recommendation systems and pipelines on GCP using Kubernetes, Argo Workflows, LightGBM, and PyTorch. Designed dual encoder neural networks with BERT and Transformer components for recommendations. Contributed to Smart Substitution and slotting optimization projects to improve supermarket operations and automated product picking using time series forecasting and optimization algorithms.
Data Scientist at Symplicity - CareerHub
October 31, 2020 - August 27, 2025Developed job recommender systems including CTR and CVR prediction using multi-task learning and DeepFM architecture. Implemented models with TensorFlow and Amazon SageMaker; processed data with Spark and Scala on Amazon EMR. Built collaborative filtering and content-based recommender systems to address cold-start problems. Developed Web API services to serve recommendation outputs and constructed paragraph embedding models based on word2vec.
PhD Candidate - Researcher at Queensland University of Technology
December 31, 2016 - August 27, 2025Designed novel algorithms for collaborative filtering recommendation based on tensor and matrix decomposition techniques. Developed tensor modeling and probabilistic user profiling algorithms for social tagging systems. Conducted statistical analysis and data visualization, authored technical reports, presentations, and publications.
Master Student - Researcher and Developer at Shandong University of Science and Technology
December 31, 2010 - August 27, 2025Designed keyword clustering and user interest modeling algorithms for scientific paper recommendation. Led algorithm and web system development for academic article sharing and recommendation. Developed parallel programs and conducted model checking for parallel program verification.
Education
Doctor of Philosophy in Computer Science at Queensland University of Technology
January 1, 2012 - December 31, 2016Master's degree in Computer Software and Theory at Shandong University of Science and Technology
January 1, 2008 - December 31, 2011Bachelor's degree in Network Engineering at Shandong University of Science and Technology
January 1, 2004 - December 31, 2008Qualifications
Outstanding Master's Thesis Award
January 1, 2012 - August 27, 2025Outstanding Achievements in Scientific Research Award
January 1, 2011 - August 27, 2025Industry Experience
Retail, Software & Internet, Education, Professional Services
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