Larry Law is a Data Scientist with 8 years' experience combining deep learning research and production-grade ML engineering, currently building personalization and deployment pipelines at BCG X in Singapore. He led continued pre-training of 70B multilingual LLMs on >200 GPUs using 3D parallelism and contributed bug fixes to the popular TinyLlama repo, and has practical experience turning terabytes of raw data into high-quality pretraining corpora. At BCG X he designed Snowflake- and Polars-based training code and automated monthly model refreshes with Airflow and AzureML, driving multi-channel production use and measurable uplifts in telco upsell revenue. He also built campaign measurement frameworks with PySpark and a retrieval-augmented QA chatbot with citations, reflecting a rare blend of research-grade model development and business-focused delivery. Known for shipping end-to-end systems, he bridges modeling, data engineering, and MLOps to scale ML solutions from prototypes to production.
7 years of coding experience
4 years of employment as a software developer
GCE A-levels, GCE A-levels at Raffles Institution
Bachelor of Computer Science, Bachelor of Computer Science at National University of Singapore
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