Grace Lee Email & Phone Number
Machine Learning Engineer @ Obviant
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Grace Lee Location
- United States
Grace Lee Work
- Machine Learning Engineer @ (August 2026 - Present)
- Machine Learning Engineer @ (July 2021 - April 2026)
- Graduate Student Researcher @ (September 2020 - July 2021)
- Research Engineer @ (April 2020 - July 2020)
- Graduate Student @ (February 2018 - February 2020)
- Researcher @ (January 2018 - February 2020)
- Software Engineer @ (January 2014 - January 2018)
Grace Lee Education
- Seoul National University
Master of Engineering - MEng
2018-2020 - The Johns Hopkins University
Bachelor of Arts
2007-2012 - Seoul National University
Master of Science
Grace Lee Skills
- AWS Elastic Beanstalk
- AWS Lambda
- Android
- Bayesian networks
- Cluster
- Computer Science
- CrewAI
- D3.js
- Data Analysis
- Data Pipelines
- Databases
- Databricks Products
- Datasets
- Deep Neural Networks (DNN)
- Django
- Docker Products
- Document Retrieval
- Elastic Stack (ELK)
- Electronic Health Records (EHR)
- Generative Neural Networks
- GitHub
- Google Cloud AutoML
- Google Cloud Platform (GCP)
- Healthcare ML
- Hospital Information Systems
- JavaScript
- Knowledge Graph Augmentation
- Knowledge Graph-Based Search
- Knowledge Graphs
- LangGraph
- Linux
- Machine Learning
- Machine Learning Algorithms
- MongoDB
- Multilingual NLP
- MySQL
- Natural Language Processing (NLP)
- PyTorch
- Python (Programming Language)
- Pytorch-geometric
- ReasonML
- SQL
- Software Development
- Software Systems Engineering
- Supervised Learning
- Twitter Analytics
- TypeScript
- graph neural networks
- k-means clustering
Grace Lee Summary
- Grace Lee, based in United States, is currently a Machine Learning Engineer at Obviant. Grace Lee brings experience from previous roles at BLACKBIRD.AI, University of California, Los Angeles, AITRICS (AI-driven Drug Discovery Team) and Seoul National University. Grace Lee holds a 2018 - 2020 Master of Engineering - MEng @ Seoul National University. With a robust skill set that includes AWS Elastic Beanstalk, AWS Lambda, Android, Bayesian networks, Cluster and more.
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