Ishangoai/AIMS_course
Oct 2025 – Oct 2025
1 Month active
Languages Used
BashCSVMarkdownPythonShell
Technical Skills
API DevelopmentAPI IntegrationCI/CDCode FormattingDagsterData Engineering
Similoluwa Okunowo
PROFILE
Similoluwa Okunowo
Developed the foundational AIMS_course stack, focusing on scalable scaffolding and robust MLOps pipelines to support end-to-end data engineering and machine learning workflows. Leveraged Python, Dagster, and MLFlow to orchestrate a credit card fraud detection pipeline, covering data ingestion, cleaning, feature scaling, model training, evaluation, and deployment. Integrated Gradio to deliver user-facing interfaces for model serving and automated model promotion to staging or production environments, complete with Slack notifications for status updates. Enhanced code quality awareness by creating a PEP8 demonstration file, helping developers recognize style violations. All work was delivered within the Ishangoai/AIMS_course repository.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
4
Lines of code
4,693
Activity Months1
Your Network
27 peopleWork History
October 2025
8 Commits • 4 Features
Oct 1, 2025October 2025: Delivered foundational AIMS_course stack and a robust MLOps pipeline, enabling end-to-end data engineering, ML workflows, and model serving. Implemented automated model promotion with Slack notifications, and advanced code quality awareness with a PEP8 demo. Focused on scalable scaffolding, reliable pipelines, and user-facing interfaces to accelerate business value.
8 Commits • 4 Features
Oct 1, 2025October 2025: Delivered foundational AIMS_course stack and a robust MLOps pipeline, enabling end-to-end data engineering, ML workflows, and model serving. Implemented automated model promotion with Slack notifications, and advanced code quality awareness with a PEP8 demo. Focused on scalable scaffolding, reliable pipelines, and user-facing interfaces to accelerate business value.
October 2025
Activity
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Quality Metrics
Correctness81.2%
Maintainability75.0%
Architecture80.0%
Performance72.6%
AI Usage37.6%
Skills & Technologies
Programming Languages
BashCSVMarkdownPythonShell
Technical Skills
API DevelopmentAPI IntegrationCI/CDCode FormattingDagsterData EngineeringData ScienceData VisualizationFastAPIFile HandlingFull Stack DevelopmentGradioHyperoptLangchainLanggraph
Repositories Contributed To
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