Summary
Edwin Cheong is a Senior Machine Learning Engineer with a decade of experience commercialising deep learning solutions across NLP, computer vision, and audio, currently focusing on multimodal and transformer-based systems. He has a strong track record of finetuning and deploying vision LLMs, OCR/layout models, TTS and voice conversion systems for multiple Southeast Asian languages, and leading small engineering teams to production-ready models. Deep PyTorch and training/inference optimisation are core strengths—he routinely benchmarks LoRA finetuning, DeepSpeed training, and model-format conversions to squeeze latency and cost down. Based in Subang Jaya, Malaysia, Edwin combines research-grade familiarity with the latest papers and practical engineering, often bridging cutting-edge LLM/smol models into deployable pipelines. An interesting thread through his work is making heavy models run efficiently on CPU-constrained or low-latency environments, turning research ideas into pragmatic, production systems.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at KDU University College
English, Malay, Chinese, Japanese, Chinese