Jeffrey Fong is a Forward Deployed Engineer based in Singapore with a 4–5 year track record building production AI/ML systems that bridge research and product. He has led end-to-end ML product cycles—from conceiving agentic AI features and RAG systems at Patsnap to deploying high-performance LLM microservices and open-source chat models at MeetKai—demonstrating strengths in model fine-tuning, function-calling, and model-serving stacks like vLLM and llama.cpp. His graduate research produced human-preferred multimodal Human-AI communication systems and publications on human-robot collaboration, reflecting a strong foundation in robotics and trust-aware interaction. Jeffrey combines hands-on engineering with research rigor, having shipped microservices, data pipelines, and agent platforms used across enterprise products. He is comfortable experimenting across training regimes (FT, LoRA, QLoRA) and deploying models in resource-constrained, production settings. Colleagues describe him as a pragmatic innovator who converts novel ML ideas into reliable, user-facing systems.
4 years of coding experience
6 years of employment as a software developer
Bachelor's Degree Mechanical Engineering specializing in Robotics and Mechatronics, Bachelor's Degree Mechanical Engineering specializing in Robotics and Mechatronics at Nanyang Technological University Singapore
Bachelor of Engineering - BE Mechanical and Mechatronics Engineering Winter 2018, Bachelor of Engineering - BE Mechanical and Mechatronics Engineering Winter 2018 at University of Waterloo
Master of Science (By Research) Computer Science, Master of Science (By Research) Computer Science at National University of Singapore
Simple Annotated implementation of GPT-NeoX in PyTorch
Contributions:26 pushes in 6 days
pytorchgpt-neoxgptannotated
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Jeffrey Fong - Forward Deployed Engineer at ServiceNow