opencompl/lean-mlir
Jun 2025 – Aug 2025
3 Months active
Languages Used
DockerfileLaTeXLatexPythonShellTeXYAML
Technical Skills
BenchmarkingBuild AutomationCI/CDDevOpsDocumentationPython Scripting
Abdalrhman Mohamed
PROFILE
Abdalrhman Mohamed
Abdo Othman developed and integrated a comprehensive SMT-LIB benchmarking framework for the opencompl/lean-mlir repository, focusing on automation, reproducibility, and data-driven analysis. He implemented parallel benchmark execution and artifact management using Docker and shell scripting, while refining CI/CD workflows to ensure stable, traceable builds. Abdo enhanced reporting by computing and integrating new benchmark statistics, updating LaTeX outputs, and improving the accuracy of solved metrics. His work aligned build tooling and documentation with current source versions, reducing drift and supporting reliable audits. Throughout, he demonstrated depth in build engineering, Python scripting, and DevOps, delivering maintainable solutions for performance evaluation.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
14Total
Bugs
1
Commits
14
Features
4
Lines of code
240
Activity Months3
Your Network
8 people
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025In August 2025, the opencompl/lean-mlir project delivered a benchmark reporting enhancement for CoqQFBV within the SMT-LIB suite. The work focused on computing and reporting statistics for coqQFBV numbers, integrating a new data source for coqQFBV results, and updating the LaTeX output to include solved counts and percentage solved metrics. Additionally, the total solved calculation for Bitwuzla and Leanwuzla was refined by excluding 'unknown' results to improve accuracy. These changes improve benchmark transparency, reliability, and actionability for optimization and resource allocation.
1 Commits • 1 Features
Aug 1, 2025In August 2025, the opencompl/lean-mlir project delivered a benchmark reporting enhancement for CoqQFBV within the SMT-LIB suite. The work focused on computing and reporting statistics for coqQFBV numbers, integrating a new data source for coqQFBV results, and updating the LaTeX output to include solved counts and percentage solved metrics. Additionally, the total solved calculation for Bitwuzla and Leanwuzla was refined by excluding 'unknown' results to improve accuracy. These changes improve benchmark transparency, reliability, and actionability for optimization and resource allocation.
August 2025
July 2025
6 Commits • 2 Features
Jul 1, 2025July 2025 — Lean MLIR: Strengthened build reliability and artifact integrity. Implemented end-to-end alignment of build tooling and documentation with the latest stable components, enabling reproducible builds and accurate artifacts for release and audits.
July 2025
6 Commits • 2 Features
Jul 1, 2025July 2025 — Lean MLIR: Strengthened build reliability and artifact integrity. Implemented end-to-end alignment of build tooling and documentation with the latest stable components, enabling reproducible builds and accurate artifacts for release and audits.
June 2025
7 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for opencompl/lean-mlir: Delivered an end-to-end SMT-LIB benchmarking framework and improved CI reliability. Implemented setup and integration of the benchmarking framework, including scripts and Dockerfile commands to install solvers, run benchmarks in parallel, and groundwork for future aggregation and analysis of results. The feature encompasses run.sh integration, MTl and GRATchk support, SMT-LIB plotting updates, and artifact execution support. Fixed CI log noise by switching from apt to apt-get updates/installations, ensuring cleaner logs while preserving functionality. Groundwork laid for data-driven benchmarking, enabling repeatable tests and quicker feedback. Technologies demonstrated: Docker, shell scripting, CI/CD practices, SMT-LIB tooling, and artifact management.
7 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for opencompl/lean-mlir: Delivered an end-to-end SMT-LIB benchmarking framework and improved CI reliability. Implemented setup and integration of the benchmarking framework, including scripts and Dockerfile commands to install solvers, run benchmarks in parallel, and groundwork for future aggregation and analysis of results. The feature encompasses run.sh integration, MTl and GRATchk support, SMT-LIB plotting updates, and artifact execution support. Fixed CI log noise by switching from apt to apt-get updates/installations, ensuring cleaner logs while preserving functionality. Groundwork laid for data-driven benchmarking, enabling repeatable tests and quicker feedback. Technologies demonstrated: Docker, shell scripting, CI/CD practices, SMT-LIB tooling, and artifact management.
June 2025
Activity
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Quality Metrics
Correctness92.2%
Maintainability91.4%
Architecture88.6%
Performance84.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
DockerfileLaTeXLatexPythonShellTeXYAML
Technical Skills
BenchmarkingBuild AutomationBuild EngineeringBuild ManagementBuild ProcessBuild SystemsCI/CDData AnalysisDevOpsDocumentationPerformance EvaluationPython ScriptingScriptingShell ScriptingSystem Administration
Repositories Contributed To
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