# Chae Lee

> swe @ meta

Location: New York, New York, United States
Profile: https://flows.cv/chae

## Work Experience
### Software Engineer @ Meta
Jan 2025 – Present

### Research Engineer - Mixed Reality @ Microsoft
Jan 2021 – Jan 2024
- Researched open/closed-source LLMs & SLMs for function calling on resource-constrained edge devices; optimized latency and token utilization.
- Enhanced Copilot agent performance through prompt engineering (CoT, RAG), vector database design, and task-specific fine-tuning.
- Led cross-functional team to benchmark hologram accuracy using spatial anchors (multi-anchor, object anchor); established QA pipelines and performance baselines.

### Software Engineer - Windows @ Microsoft
Jan 2020 – Jan 2021 | Redmond, Washington, United States
- Worked from the early stage to the shipping stage for Windows Subsystem for Android (WSA), a system service that enables Windows OS to run Android applications (.apk)
- Bridged AOSP to Windows OS notification using C++, Java, proto buffers

### Computer Vision Graduate Researcher @ Washington University in St. Louis
Jan 2019 – Jan 2019
- Conducted Sparse-to-Dense Optical Flow research using deep learning under the supervision of Dr. Chakrabarti
- Using Tensorflow to build UNet, ResNet, Encoder-Decoder, and other custom neural network architectures

### Computer Vision Research Intern @ 카카오브레인 - Kakao Brain
Jan 2018 – Jan 2018
- Using Tensorflow, implemented a ResNet-50 (2015), trained, and attained an accuracy of 97% on LFW dataset
- Built a face recognition system that is added to the Human Perception Package SDK

### HCI Undergraduate Researcher @ Washington University in St. Louis
Jan 2017 – Jan 2017
- Conducted feature extraction from human-computer interaction (HCI) data from interaction logs
- Enhanced our existing machine learning model by identifying two predictive features for user performance


## Education
### Bachelor’s and Master's in Computer Science
Washington University in St. Louis


## Contact & Social
- LinkedIn: https://linkedin.com/in/chaehonglee
- Website: https://chaehomie.com

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Source: https://flows.cv/chae
JSON Resume: https://flows.cv/chae/resume.json
Last updated: 2026-04-05