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Adam Haïk

PROFILE

Adam Haïk

Worked on the flipoyo/MOLONARI1D repository to enhance hydraulic-thermal simulation fidelity and improve model-based inference workflows. Over two months, delivered core simulation model upgrades, including source-term support and refined flux plotting, while stabilizing MCMC algorithms through adaptive scaling and improved parameter handling. Focused on Python and Jupyter Notebooks for both development and demonstration, with additional emphasis on API coherence and configuration management. Addressed bugs affecting flow calculation and parameter consistency, and expanded documentation with a comprehensive MCMC README. These efforts resulted in more robust parameter estimation, clearer code structure, and improved usability for scientific computing and hydrological modeling tasks.

Overall Statistics

Feature vs Bugs

71%Features

Repository Contributions

16Total
Bugs
2
Commits
16
Features
5
Lines of code
6,140
Activity Months2

Your Network

65 people

Work History

November 2025

7 Commits • 3 Features

Nov 1, 2025

Monthly summary for 2025-11 focusing on MOLONARI1D. Key features delivered include MCMC algorithm improvements with adaptive scaling and range handling, API/config coherence, and updated demo notebooks. Major bug fix addressing priors/parameter consistency. Additional improvements include a comprehensive MCMC README documenting algorithm, priors, energy and acceptance criteria. Impact: improved exploration stability, physical consistency, and usability for demonstrations and onboarding; improved API consistency and configuration management across the project. Technologies/skills demonstrated: Python, MCMC algorithms, API design, config management, documentation, Jupyter notebooks.

October 2025

9 Commits • 2 Features

Oct 1, 2025

October 2025 performance summary for flipoyo/MOLONARI1D focused on delivering higher-fidelity hydraulic-thermal simulations, stabilizing model-based inference, and improving visualization tooling. Key work included core simulation model enhancements, MCMC robustness fixes, and demo/notebook improvements, with a concerted emphasis on code readability and maintainability to accelerate future development and deployment.

Activity

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Quality Metrics

Correctness86.2%
Maintainability85.0%
Architecture83.8%
Performance85.0%
AI Usage27.4%

Skills & Technologies

Programming Languages

MarkdownPython

Technical Skills

API DevelopmentData ModelingHydrological ModelingJupyter NotebookJupyter NotebooksMCMCPythonPython developmentPython programmingPython scriptingalgorithm designalgorithm developmentdata analysisdata visualizationdocumentation

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

flipoyo/MOLONARI1D

Oct 2025 Nov 2025
2 Months active

Languages Used

PythonMarkdown

Technical Skills

Jupyter NotebookPythonPython programmingPython scriptingalgorithm developmentdata analysis