Ishangoai/AIMS_course
Oct 2025 – Oct 2025
1 Month active
Languages Used
PythonShell
Technical Skills
API DevelopmentAgentic SystemsDagsterData EngineeringDockerFastAPI
Abdelkhalig-elfatih
PROFILE
Abdelkhalig-elfatih
Developed two integrated AI-driven systems for the Ishangoai/AIMS_course repository, focusing on robust feature delivery and production readiness. Built an AIMS course platform featuring a chatbot with Google Search integration, a FastAPI backend, and multiple Gradio app mounts, alongside a Dagster-powered pipeline for data ingestion, cleaning, and ERA5 temperature forecasting with hyperparameter tuning and deployment. Additionally, implemented an agentic technical report generation system using LangGraph and Google Gemini, automating research, outlining, and editing tasks through a Gradio interface. Leveraged Python, Docker, and MLflow to ensure scalable deployment, comprehensive testing, and end-to-end orchestration across both machine learning and data engineering workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
3,309
Activity Months1
Your Network
27 peopleWork History
October 2025
2 Commits • 2 Features
Oct 1, 2025October 2025 performance summary focusing on two major feature deliveries for Ishangoai/AIMS_course, with no critical bugs reported in this period and QA-focused stability improvements aligned to release readiness.
2 Commits • 2 Features
Oct 1, 2025October 2025 performance summary focusing on two major feature deliveries for Ishangoai/AIMS_course, with no critical bugs reported in this period and QA-focused stability improvements aligned to release readiness.
October 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability85.0%
Architecture90.0%
Performance80.0%
AI Usage55.0%
Skills & Technologies
Programming Languages
PythonShell
Technical Skills
API DevelopmentAgentic SystemsDagsterData EngineeringDockerFastAPIGoogle GeminiGoogle Search APIGradioHyperoptLLMLangGraphLangchainLanggraphMLflow
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