AI/ML • Software • Systems
Jaeyoung Lee (Daniel)
SDE at AWS • Stanford CS (MS/BS)
I build scalable software and ML systems—from cloud infrastructure to LLM-powered products.
Highlights
The intersection I enjoy most: systems × ML × product.
Scalable Systems
Cloud services, data pipelines, dashboards, and reliability-focused engineering.
Applied ML
LLMs, NLP/CV, and practical ML workflows from prototypes to shipped features.
Fast Iteration
Automation, tooling, and UX details that make complex systems feel effortless.
Skills
A quick snapshot of the tools I use most.
Languages
Python
C++
JavaScript
SQL
ML & AI
PyTorch
TensorFlow
NumPy
Pandas
LLMs
NLP
CV
Tech
AWS
Linux
FPGA
VHDL
Unreal Engine
Git
Education
Stanford CS (AI) — MS & BS.
Stanford University
Stanford University
- Tau Beta Pi
- Stanford Astronomical Society (President)
- Stanford ACM
Experience
Recent roles across software engineering and applied ML.
Software Development Engineer
Amazon Web Services (AWS)
08/2025–Present
- Network Management Team.
- Building scalable systems for AWS network infrastructure.
SDE Intern — Network Capacity
Amazon Web Services
06/2024–09/2024
- Migrated capacity planning stack to AWS cloud, cutting cost & enabling rapid iteration.
- Shipped a dashboard serving faster updates & custom views for users/orgs.
ML Intern
SLAC National Accelerator Lab
09/2023–05/2024
- Automated ML-to-FPGA (VHDL) model conversion for high-throughput inferencing.
- Accelerated hardware deployment, reducing prototyping time.
ML Intern, AI Graphics Lab
NCSOFT, Korea
06/2023–08/2023
- Developed an audio-to-facial animation ML pipeline for Unreal Engine assets.
- Sped up character facial animation by 7× via model/Py pipeline.
Software Eng Intern
SLAC National Accelerator Lab
06/2022–08/2022
- Built realtime GUI for high-speed image + statistics for X-ray lab scientists.
- Optimized UX for large-scale visual/scientific data.
Projects
Selected projects across LLMs, automation, and graphics.
MBenz Meeting Prep Assistant
01/2024–06/2024
- Real-time, voice-based AI summaries for scheduling as you drive.
- Integrates calendar, LinkedIn, and Wikipedia for sharp, on-the-road prep.
LLMs
Voice
API
Auto Email → Calendar Sync
02/2024–03/2024
- LLM-powered event parsing → calendar automation; no manual copy-paste.
LLMs
Automation
Python
API
Knowledge Navigator w/ LLM
09/2023–12/2023
- Smart doc search GUI with LLM answers + source links; 4× faster retrieval.
LLMs
Retrieval
GUI
Python
ML Ray-Traced Images
04/2023–06/2023
- GAN renders high-fidelity ray-traced frames from raster images; 4.5× faster than classic.
ML
GANs
Graphics
PyTorch/TensorFlow
Audio → Face Model Optimization
09/2022–12/2022
- Redesigned net → 60% faster training, no loss of quality.
ML
Audio
Animation