About inseong
A dedicated machine learning enthusiast driven by a deep love for problem-solving. With 3 years of experience in analyzing various types of data, I thrive on tackling challenges head-on and finding innovative solutions. Currently, I'm pursuing a master's degree in Data Science at the University of San Francisco. My goal is to get hands-on experience in data science built upon a solid foundation in statistics, data engineering, and machine learning.
Key Skills
Experience
Senior Data Scientist
CurrentLexisnexis
Advancing search capabilities with Large Language Models (LLMs) through integration of external relational databases.
Data Scientist
Lexisnexis
Skills: Large Language Models (LLM) · Langchain · Scala · Huggingface
Machine Learning Engineer
라포랩스
* Modeling recommendation systems and ML operations * Set up Google Kubernetes Engine and initiate Kubeflow pipeline which covered from data ingestion to model registering * Deploy a collaborative filtering model with implicit feedback of users * Prototype a transformer-based recommendation model * Manage models by using MLflow
Education
University Of San Francisco
Masters
Seoul National University
Bachelors
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Common Questions
What is inseong's expertise?
inseong specializes in LLM Engineer - Remote, with expertise in c++, git, huggingface, kubernetes, langchain.
Where is inseong located?
inseong is based in stanford, california, united states.
How much experience does inseong have?
inseong has 7+ years of professional experience.
How can I contact inseong?
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