Jun Kang Chow#
Jun Kang Chow is an AI researcher with 10+ years of hands-on experience across deep learning, generative AI, computer vision, point cloud processing, and geospatial analysis. He specializes in bringing Large Language Models into real-world production: architecting retrieval-augmented generation (RAG) pipelines, optimizing inference for low latency and cost, fine-tuning and distillation for domain-specific tasks, and building evaluation and safety guardrails. His work spans end-to-end system design, from data pipelines and model serving to monitoring and continuous improvement, delivering reliable, scalable LLM applications.
Posts by Jun Kang Chow
