Profile

Jaeyoung Lee (Daniel)

SDE at AWS | Stanford CS MS & BS '25

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Stanford, CA

Skills

Languages

Python C++ JS SQL

ML & AI

PyTorch TensorFlow NumPy Pandas LLMs NLP CV

Tech

AWS Linux FPGA VHDL Unreal Git

Education

Stanford University

MS, Computer Science (AI) 2024–2025 (Graduated)

Stanford University

BS, Computer Science (AI) 2021–2025 (Graduated)
  • Tau Beta Pi
  • Stanford Astronomical Society (President)
  • Stanford ACM

Experience

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

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 GPT-4o 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 Opt

09/2022–12/2022
  • Redesigned net → 60% faster training, no loss of quality.
ML Audio Animation

Contact

Let’s connect about ideas, collaboration, or opportunities — email or LinkedIn preferred. Fast replies!

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GitHub