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Head of Technology
Lim Ting Hui
Lim is the co-founder of MetaLearner and leads technology development. Focused on bridging data science with generative AI, he constantly strives to enhance system performance and improve the user experience in accessing a highly advanced data science stack. By integrating high-performance computing with a carefully curated architecture and workflow, he has propelled MetaLearner to the forefront of innovation.
Posts by Lim Ting Hui
MetaLearner's Automated Intelligence StackHow MetaLearner’s purpose‑built AI agents automate the entire enterprise data lifecycle—from retrieval and cleaning to forecasting and robust optimization, delivering explainable insights from messy ERP data
Building a Robust Supply Chain with MetaLearnerBuilding a robust supply chain and recalibrating forecasts and strategies is no longer optional. It’s a necessity in an era where tariff policies are changing by the day.
MetaLearner: A New Standard for AI Data QueriesMetaLearner demonstrates its superiority by achieving a 93.3% accuracy when tested against the TAG benchmark using the `california_schools` database.
Building Smarter Solutions with LlamaMetaLearner is leveraging Llama 3.1 across both the 8B and 70B models to power our AI-driven data science workflow.
Next-Gen Forecasting PipelineRecent advances in NVIDIA GPU computing technologies have allowed us to compute large feature sets on economic data, including macroeconomic, financial, and operating statistics.
MetaLearner Forecasting Stack White PaperTake a look to our white paper, where we explore the various machine learning and mathematical models powering our platform.
MetaLearner's Research on Web Search OptimizationMetaLearner demonstrates innovative approach to optimizing web search retrieval-augmented generation pipelines using Nvidia NIMs and Llama 3.1
