Hi there 👋, I'm

Yunmo Koo

ML System Engineer

MLOps / LLM Training & Serving / Multi-Cloud / Kubernetes

mpbb03@gmail.com

Yunmo Koo

about me

Hi! My name is Yunmo Koo, ML System Engineer

I am a Machine Learning Systems Engineer with a robust blend of academic background and industry experience. Over the past five years, I’ve built an end-to-end generative AI platform for training and deploying LLMs, playing a key role as a founding team member of a successful Series-A startup. My expertise spans the full lifecycle of LLM systems, from conception to real-world application.

I am very passionate and dedicated to my work, I have plenty of problem solving, communication and leadership skills; and I'm very good at teamwork. You can get in touch with me by filling this 📄form, or you can send me an email to
📧mpbb03@gmail.com; also you are more than welcome to follow my work on my GitHub and visit my LinkedIn profile.

🤖 YunmoGPT

If you have any question about my professional experience and background, feel free to pose your questions to YunmoGPT! YunmoGPT is an advanced chatbot powered by the Retrieval Augmented Generation (RAG), employing the capabilities of the Friendli Large Language Model (LLM) for generating responses. It retrieves my personal information from the vector store (MongoDB Atlas). Friendli is a cost-efficient LLM training and inference service, developed collaboratively by our team at FriendliAI.

Experience

Feb 2021 - Present

Software Engineer

FriendliAI

  • - Engineer of the founding team
  • - Developed multi-cloud distributed training system
  • - Trained and published FAI-13B
  • - Developed engine for LLM training and inference
  • - Developed CLI and Python SDK
  • - Managed sales and business development
Aug 2020 - Aug 2022

Graduate Student

Software Platform Lab @SNU

  • - Cost-effective distributed training on multi-cloud
  • - Deep learning computational graph optimization

Education

2020 - 2022

MS, Computer Science and Engineering

Seoul National University

  • - @Software Platform Lab
  • - Distributed training job orchestration system
  • - Deep learning compuational graph optimization
2014 - 2020

BS, Computer Science and Engineering

Seoul National University

  • - Double majored with Korean History
  • - The period includes two years of military service

Skills

Languages

  • Python95%
    95%
  • C++80%
    80%
  • TypeScript75%
    75%
  • Go70%
    70%
  • Rust60%
    60%

Overall

  • 90%
    Web Development
  • 95%
    LLMOps
  • 85%
    Deep Learning
    • System Design
    • Team Work
    • Communication
    • All Rounder

Tools & Framworks

  • FastAPI95%
    95%
  • Django95%
    95%
  • PyTorch90%
    90%
  • Kubernetes80%
    80%
  • ElasticSearch80%
    80%
  • NextJS75%
    75%
  • Jenkins90%
    90%