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
Adetoyosi developed the foundational AIMS_course stack, focusing on scalable scaffolding and robust MLOps pipelines for end-to-end data engineering and machine learning workflows. Within the Ishangoai/AIMS_course repository, Adetoyosi implemented automated model promotion with Slack notifications, leveraging Python, Dagster, and MLFlow to orchestrate data ingestion, feature engineering, model training, evaluation, and deployment. The work included a Gradio-based user interface for model serving and a code quality demo to illustrate PEP8 standards, supporting developer education. By integrating API endpoints and establishing reliable pipelines, Adetoyosi enabled efficient model lifecycle management and accelerated the delivery of user-facing machine learning solutions.
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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