Yejin Kim
Graduate
Seoul
Summary
Proven expertise in ML/AI frameworks and Python, demonstrated through impactful projects at SAP Labs, including the development of an API for Cardinality Estimation. Skilled in teamwork and problem-solving, excel in building advanced text embedding models and enhancing query optimization processes, showcasing a strong blend of technical acumen and collaborative prowess.
Overview
2
2
years of professional experience
Work History
Research Intern
Linq
01.2024 - 02.2024
- Baseline implementation for text embedding model with Mistral 7B.
- Incorporating training pipeline with AWS infrastructure.
- Building unified text embedding architecture to support BERT based model and Large Language Model.
Research Intern
SAP Labs
07.2022 - 06.2023
- Building API with Neurocard for Cardinality Estimation of Query Optimization in local server.
- PoC for On-premise DB by using Flask Server.
- Extension to the various benchmark including TPC-DS.
Education
Ph.D. - Statistics And Data Science
Yonsei University
Seoul 04.2001 -
Bachelor of Science - Applied Statistics
Yonsei University
Seoul, South Korea 04.2001 -
Bachelor of Science - Astronomy
Yonsei University
Seoul, South Korea 04.2001 -
Skills
Python
- ML/AI frameworks (eg Huggingface, weight and bias)
- API Serving (eg Flask)
- GPT API (eg OpenAI, Langchain, Pinecone)
Others
- Teamwork and Collaboration
- Problem-Solving
- Research Paper Writing
- Multitasking and Organization
Timeline
Research Intern
Linq
01.2024 - 02.2024
Research Intern
SAP Labs
07.2022 - 06.2023
Ph.D. - Statistics And Data Science
Yonsei University
04.2001 -
Bachelor of Science - Applied Statistics
Yonsei University
04.2001 -
Bachelor of Science - Astronomy
Yonsei University
04.2001 -
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