Summary
Jingran Zhou is a Senior Machine Learning Engineer with nine years of experience building reliable, agentic LLM systems and production-grade ML services at scale, currently enhancing Siri and Apple Intelligence in Cupertino. He specializes in LLM fine-tuning (LoRA), retrieval-augmented generation, robustness and evaluation pipelines, and has applied generative AI to make assistants act as tool-using agents for multi-step tasks. His background includes on-device, privacy-preserving models for battery and OS optimization, time-series forecasting for smoother software updates, and a patented energy-efficient system for Always-On display on iPhone 14 Pro. Jingran’s early career spans game tooling at Tencent and full-stack/ML work at J.P. Morgan, showing a pattern of fast self-learning (Lua, Spring Boot) and shipping measurable productivity gains. A Cal Bear, HKU alum and Princeton exchange student, he blends rigorous academic training with pragmatic product-focused ML engineering.
10 years of coding experience
6 years of employment as a software developer
Master of Engineering Electrical Engineering and Computer Science, Master of Engineering Electrical Engineering and Computer Science at University of California, Berkeley
The University of Hong Kong (HKU)
Summer Program Entrepreneurship, Summer Program Entrepreneurship at Tsinghua University
Exchange Student Computer Science, Exchange Student Computer Science at Princeton University
High School Science, High School Science at The High School Affiliated to Yunnan Normal University
Chinese, English, Chinese, Spanish