Skip to content
View yanchaomei's full-sized avatar

Block or report yanchaomei

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
yanchaomei/README.md

Chaomei Yan

Systems infrastructure × AI inference × Agent infrastructure.

I work at the intersection of low-level systems and large-scale AI. My background is in distributed databases, storage engines, and disaggregated memory systems. Currently, I'm focused on making LLM inference faster and building the infrastructure layer for AI agents.

CS grad student at USTC. Open-source contributor. Builder.


Now

  • Optimizing KV Cache scheduling for large model inference (contributing to Mooncake)
  • Exploring video generation / multimodal inference acceleration
  • Building infrastructure for AI agents — memory, retrieval, orchestration
  • Researching disaggregated memory architectures (CXL, PMEM, RDMA)

Technical Themes

Systems Layer              AI Infrastructure           Frontier
─────────────────          ─────────────────           ─────────────────
Storage engines            LLM inference optimization  Agent memory systems
KV stores (LSM / B-Tree)  KV Cache scheduling         Retrieval acceleration
Transaction processing     Distributed training        Multimodal agents
Disaggregated memory       Video generation systems    Research agents
RDMA / CXL / PMEM         Serving infrastructure      Agentic workflows

Open Source

Contributions to production infrastructure used at scale:

Project What I Worked On
RocksDB Storage engine performance optimization
Mooncake Transfer engine, KVCache scheduling for LLM serving
Apache Kvrocks Storage engine internals
OpenMLDB Database kernel for ML feature platform
ColossalAI Distributed training framework
Kmesh eBPF-based kernel-native service mesh
LightGBM ML framework contributions

Selected Projects

  • Mooncake KVCache — Working on the serving platform behind Kimi. Focused on transfer engine and KV Cache disaggregation for efficient LLM inference.
  • LevelDB-BF-Index — Bloom filter index optimization for LSM-tree based storage.
  • 3R-Memory-Manager — Custom OS memory management with a novel 3R allocation strategy. National OS competition project.

What I Care About

  • Leverage over labor. I prefer building systems that multiply output — automation, good abstractions, AI-augmented workflows. Not a fan of scaling through headcount.
  • Research that ships. Theory matters when it changes how systems work in practice. I want to close the gap between papers and production.
  • Infrastructure taste. The best infra is invisible. I care about clean interfaces, minimal abstractions, and systems that degrade gracefully.

Reach Me


Building systems that think — from storage engines to intelligent agents.

Popular repositories Loading

  1. Inventory-management-system Inventory-management-system Public

    一个用python写的库存管理系统,GUI使用tkinter库,数据库管理使用pymysql

    Python 26 4

  2. Cminus-F-Compiler Cminus-F-Compiler Public

    my lab code for Compiler Principle

    C++ 1

  3. docs docs Public

    Forked from USTC-vlab/docs

    USTC Vlab 远程教学云桌面平台的使用文档

  4. python3-source-code-analysis python3-source-code-analysis Public

    Forked from flaggo/python3-source-code-analysis

    《Python 3 源码剖析》

    Makefile

  5. 3R-Memory-Manager 3R-Memory-Manager Public

    Our Project for the OS competition

  6. ustc-new-grade-actions ustc-new-grade-actions Public

    Forked from WuTianming/ustc-new-grade-actions

    USTC 新成绩自动通知脚本,使用 GitHub Actions 实现云端自动运行。然而 Actions 的时间延迟很玄,如果不放心的话还是多刷几次教务系统好了。

    Python