pasteurlabs/tesseract-core
Nov 2025 – Jan 2026
2 Months active
Languages Used
Python
Technical Skills
CAD ModelingData ProcessingMachine LearningPython DevelopmentDocumentationGPU Programming
Ignacio Moya
PROFILE
Ignacio Moya
Imoyared developed end-to-end surrogate modeling workflows for the pasteurlabs/tesseract-core repository, integrating Ansys simulation data with Tesseract to predict quantities of interest from CAD designs. Their approach combined CAD modeling, data processing, and machine learning in Python, enabling faster design exploration by converting high-fidelity simulations into predictive models. Imoyared also enhanced the repository’s integration surface, standardizing API input and output handling and providing clear GPU training instructions to support accelerated workflows. The work emphasized reproducibility and onboarding through rigorous documentation, resulting in maintainable, well-documented features that reduced integration friction and improved readiness for GPU-enabled machine learning use cases.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
8,331
Activity Months2
Your Network
14 peopleWork History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for pasteurlabs/tesseract-core focused on strengthening the Tesseract integration surface and enabling GPU-accelerated workflows. Deliverables centered on API/documentation cleanup, robust input/output handling, and clear guidance for GPU training to accelerate adoption and performance. No explicit major bug fixes reported this month for the scope provided; the work was primarily enhancements and documentation improvements that reduce integration friction and improve readiness for GPU-enabled use cases.
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for pasteurlabs/tesseract-core focused on strengthening the Tesseract integration surface and enabling GPU-accelerated workflows. Deliverables centered on API/documentation cleanup, robust input/output handling, and clear guidance for GPU training to accelerate adoption and performance. No explicit major bug fixes reported this month for the scope provided; the work was primarily enhancements and documentation improvements that reduce integration friction and improve readiness for GPU-enabled use cases.
January 2026
November 2025
1 Commits • 1 Features
Nov 1, 2025Monthly summary for 2025-11 focusing on the pasteurlabs/tesseract-core QoI-based surrogate modeling workflow. Delivered end-to-end integration of Ansys simulation data with Tesseract to generate data, train surrogate models, and perform inference to predict quantities of interest from CAD designs. Added a practical Ansys Fluent QoI-based workflow example doc to serve as a reproducible blueprint and onboarding resource for engineering teams. This work enables faster design exploration, reduces reliance on costly high-fidelity simulations, and strengthens decision support through model-based analytics. Demonstrated cross-tool integration, rigorous documentation, and contribution quality across multiple co-authors.
November 2025
1 Commits • 1 Features
Nov 1, 2025Monthly summary for 2025-11 focusing on the pasteurlabs/tesseract-core QoI-based surrogate modeling workflow. Delivered end-to-end integration of Ansys simulation data with Tesseract to generate data, train surrogate models, and perform inference to predict quantities of interest from CAD designs. Added a practical Ansys Fluent QoI-based workflow example doc to serve as a reproducible blueprint and onboarding resource for engineering teams. This work enables faster design exploration, reduces reliance on costly high-fidelity simulations, and strengthens decision support through model-based analytics. Demonstrated cross-tool integration, rigorous documentation, and contribution quality across multiple co-authors.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
CAD ModelingData ProcessingDocumentationGPU ProgrammingMachine LearningPython Development
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