Ishangoai/AIMS_course
Oct 2025 – Oct 2025
1 Month active
Languages Used
PythonShell
Technical Skills
API DevelopmentCI/CDDagsterData EngineeringData ValidationDocker
Rojoniaina-Rasoafarihy
PROFILE
Rojoniaina-rasoafarihy
Rojoniaina developed the Student AI/ML Platform Scaffold for the Ishangoai/AIMS_course repository, creating a modular workflow to support student experimentation in machine learning. The platform unified data ingestion, processing, analytics, and model tracking, enabling streamlined educational projects. Rojoniaina implemented a Dagster-based pipeline for data ingestion, cleaning, and aggregation, and integrated MLflow for time-series forecasting with model tracking and promotion. The scaffold included a FastAPI application that mounted Gradio apps, as well as a Langchain/Gradio chatbot for interactive student support. Using Python and Docker, the work demonstrated depth in data engineering and model deployment, establishing a robust foundation for future development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,698
Activity Months1
Your Network
35 peopleWork History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered the Student AI/ML Platform Scaffold for Ishangoai/AIMS_course, establishing a modular end-to-end workflow platform that enables student-focused AI/ML experimentation and learning. The month focused on implementing a scaffold that unites data ingestion, processing, analytics, and model tracking, enabling faster experimentation and education outcomes. Key outcomes include a new folder structure, a Langchain/Gradio chatbot, a FastAPI application mounting Gradio apps, a Dagster-based data engineering pipeline (ingestion, cleaning, and aggregation), and an MLflow-integrated time-series forecasting pipeline with model tracking and promotion.
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered the Student AI/ML Platform Scaffold for Ishangoai/AIMS_course, establishing a modular end-to-end workflow platform that enables student-focused AI/ML experimentation and learning. The month focused on implementing a scaffold that unites data ingestion, processing, analytics, and model tracking, enabling faster experimentation and education outcomes. Key outcomes include a new folder structure, a Langchain/Gradio chatbot, a FastAPI application mounting Gradio apps, a Dagster-based data engineering pipeline (ingestion, cleaning, and aggregation), and an MLflow-integrated time-series forecasting pipeline with model tracking and promotion.
October 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage90.0%
Skills & Technologies
Programming Languages
PythonShell
Technical Skills
API DevelopmentCI/CDDagsterData EngineeringData ValidationDockerFastAPIGradioHyperoptLangchainMLflowMachine LearningModel DeploymentPandasScikit-learn
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