Professional Telecommunications

In-House Framework for Machine Learning Deployment

Software Developer 1 year 2 months

Extended and improved an internal machine learning deployment framework while helping application teams use it effectively across development and deployment workflows.

Highlights

  • Extended the framework’s monitoring and alerting capabilities through YAML-based configuration, improving operational support for deployed applications.
  • Worked closely with application teams to help developers deploy their applications and adapt them to framework requirements.
  • Refactored framework components and implemented additional features to improve maintainability and day-to-day usability.
  • Reviewed application code before deployment and taught internal teams how to use the framework effectively.

Technology Stack

Python
TensorFlow Scikit-learn Pandas SQLAlchemy unittest
Docker
Dockerfiles
SQL
PL/SQL HiveQL
CI/CD Pipelines
Azure DevOps GitLab

Tags

#professional #ml #devops #internal-tooling