CV

Curriculum-Vitae

Basics

Name Kina Kim
Title Developer
Email kina19131@gmail.com
Url https://kina19131.github.io
Summary Software Engineer who loves being the bridge between Tech and Society

Skills

Technical
Python
Go
IBM Cloud
PyTorch
Bash
Interpersonal
Adaptability
Problem-Solving
Innovation
Collaboration
Communication
User-focused

Work

  • 2024.06 - present
    Software Developer, Db2 Cloud
    International Business Machine
    As a Software Engineer on the Db2 on Cloud team, I led the development and maintenance of cloud pipelines to ensure seamless and efficient software operations. I worked on enhancing system reliability using Machine Learning to analyze and resolve anomalies in Db2 commands, improving the overall stability of the system.
    • Led the development of cloud pipelines to reduce failure and manual intervention
    • Enhanced system reliability using Machine Learning for anomaly detection in Db2 commands
    • Ensured stable cloud operations and better customer experiences
  • 2023.09 - 2023.12
    Data Scientist
    Royal Bank of Canada
    During my internship at RBC, I led a Machine Learning project aimed at predicting customer churn. I developed strategies to identify trends and presented a prototype model for churn prediction, which was successfully integrated into the company's business operations. I also performed data processing and analysis using Hadoop and SQL to extract insights.
    • Scoped and led a high-impact ML project focused on predicting customer churn
    • Utilized Hadoop and SQL for ETL processes and large dataset analysis
    • Developed and presented a predictive churn model to enhance customer retention
    • Collaborated with IT and Product teams for seamless integration of data insights
  • 2022.05 - 2023.05
    Software Developer, Db2 Causal Analyst
    International Business Machine
    As a Software Engineer focusing on testing and causal analysis, I contributed to the design of large-scale database systems and optimized system reliability. My role included developing automated testing pipelines, implementing anomaly detection systems, and training Machine Learning models to enhance database performance.
    • Developed automated testing pipelines using Bash scripting, reducing manual testing
    • Analyzed and maintained IBM’s pureScale Db2 database to prioritize system availability
    • Trained GAN models to generate efficient syntax-aware database queries
    • Designed an anomaly detection system to proactively identify irregularities

Education

  • 2019.09 - 2024.06

    Toronto, ON, Canada

    Bachelor
    University of Toronto
    Engineering Science, Machine Intelligence

Interests

ML/AI
Explainable AI/ML
Generative AI
Graphical Neural Network
Reinforcement Learning
Robotics
Software
Cloud
Reliability
Automation
Performance

Languages

Korean
Native speaker
English
Fluent