Technical field notes / 001
Forrest
Ye
AI Technical Lead / LLM Systems & Product Engineering
I turn complex technology into systems that work in real settings, spanning data platforms, model training, and enterprise AI.
I also build for Meta Ray-Ban Display and write about product and technical judgment.
Selected practice / 01
Selected practice
A small set of projects that show the work—from model training to new interfaces.
All projects
Field notes / 02
Field notes
Technology lives not only in benchmarks, but also in use, trade-offs, and sustained observation.
All writing Six Months with Meta Ray-Ban Display: Not the Final Form, but It Changed How I Record Life
A six-month field report on hands-free recording, teleprompting, privacy, wearability and why this imperfect pair of display glasses still fits my life.
Read in ChineseDeepSeek's Breakout: Technology, Hype and the Story Behind It
A contemporaneous January 2025 essay on DeepSeek V3 and R1, training efficiency, open-source competition and the market narrative around them.
LLaMA 3: Opening a New Chapter for Large Language Models
A release-day technical note on LLaMA 3, covering its tokenizer, GQA, context window, training data scale and the case for heavily trained smaller models.
Experience / 03
Experience
A path from data systems and research teaching to LLM platforms and technical leadership.
AI Product & Engineering Lead
DHC Software
Leading AI products, system architecture, technical direction and a 5–10 person AI/data team.
Teaching Associate
Monash University · Faculty of IT
Taught database labs in English with strong evaluations across four semesters.
Research Assistant
Monash University · Faculty of Business
Developed an online experimental system for futures decision research.
Contact / 04
Contact
For AI leadership roles, system collaborations, or a thoughtful technical conversation.