我是一名有 4年以上经验 的软件工程师，专注于 AI 基础设施 — 在 AWS 构建 GPU 资源预留、调度和交付的容量管理层。
在 AWS 之前，我在 Apple 实习做数据基础设施， 也在 Boston University Department of Medicine 做过 ML 研究。 本科在波士顿大学学 CS 和数学，研究生在 CMU。
这个博客记录我在 GPU 调度、AI 工作负载容量规划、分布式系统模式等方面的学习和思考。 中英双语，取决于话题。
你好，我是 Mincan 👋🏻
最新文章
查看全部- 7.1 · The Thesis: Capacity and Scheduling Are One ProblemThe whole series in one argument — supply and scheduling aren't two problems, and the seam between them is the leverage.
- 6.4 · Forecasting Demand to Size ReservationsHow much to reserve is a prediction problem; sizing committed capacity against forecast demand instead of guessing.
- 6.3 · The Right Buying Mix: Reserved, On-Demand, and SpotWhy a paid commitment must run hot to beat on-demand, and when spot wins.
工作经历
- Aug2022 - CurrentAmazon Web ServicesSoftware Engineer — EC2 AI Infrastructure
Building AWS AI infrastructure focusing on GPU capacity.
- May2021 - Dec2021AppleSoftware Engineer Intern — Strategic Data Solutions
Backend development in Apple’s Strategic Data Solutions group.
- Oct2019 - Aug2020Boston University Department of MedicineMachine Learning Research Assistant — Kolachalama Lab
Developed a deep learning framework for detecting glomeruli from kidney biopsy images.
联系我
对 AI 基础设施、GPU 调度或分布式系统感兴趣？欢迎通过 LinkedIn 或邮件联系。