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Kijtapart Nawattranakul
Fullstack Software Engineer with more than 7 years of non-intern experience
Work experience
  • Led a team of 3 engineers to implement Pipeline Brake features with metrics, boosting the average rate of successful post-merge pipelines by 30%
  • Built a new monitoring solution to track and visualize the status of Github pipelines with AWS, providing historical views of failed and successful builds for our open source apps
  • Designed and implemented the Slack integration to notify the owner of a Pipeline job of any failure, reducing mean time to recovery by 25%
  • Took ownership of supporting the latest Panorama API changes and enabling running Panorama actions in parallel, boosting performance by 75%
  • Implemented new command-line interface to manage cross-team tools, providing a scalable and maintainable way to integrate new internal tools into SOAR
  • Migrated Grafana dashboards and alerts to SignalFx to comply with FedRAMP
Tech stack
  • Took ownership of a client-facing web app to provide a one-stop service to manage user licenses for the entire company.
  • Set up A/B tests with Google Optimize to test product hypotheses.
  • Reduced the number of Support requests by 40% via developing self-service tools to let customers schedule licenses for removal.
  • Lowered the number of oncall tickets by 30% through building self-service tools for the Support team to handle Customer issues independently.
  • Participated in the oncall, JavaScript review team, and hiring team.
Tech stack
  • Designed and implemented the Energy Management Dashboard.
  • Designed and implemented a flow chart drawing editor.
  • Enabled UI responsiveness in multiple platforms.
  • Configured Webpack for test, development, and production environments.
  • Wrote python scripts to automate fetching, parsing and importing data into the application.
Tech stack
skills
Education
AWS Certified Cloud Practitioner
March 2020
ImageUniversity Of British Columbia
B.Sc Major in Computer Science
May 2016
Highlighted courses

Advanced Relational Database

92%

Distributed Systems

85%

Matrix Algebra

84%

Introduction to Artificial Intelligence

83%

Intermediate Microeconomic I

75%

Machine Learning and Data Mining

74%