ansys/pysimai
Nov 2025 – May 2026
6 Months active
Languages Used
Python
Technical Skills
AI DevelopmentGenerative DesignPythonAI IntegrationData ScienceMachine Learning
Florian Jacta
PROFILE
Florian Jacta
Over six months, contributed to ansys/pysimai by developing and refining features that streamline AI-driven simulation workflows. Built onboarding and quickstart tutorials, restructured documentation, and enhanced user guidance for project creation, data upload, and model building. Refactored latent parameter retrieval and introduced flexible scalar boundary conditions, improving data processing and simulation configurability. Delivered non-parametric optimization examples using automorphing, expanding design optimization capabilities. Updated example scripts for API compatibility and implemented a multi-process bulk upload script to accelerate data preparation. Addressed optimization workflow bugs, ensuring robust integration. Work consistently leveraged Python, data modeling, and multiprocessing to improve usability and maintainability.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
6
Lines of code
33,032
Activity Months6
Your Network
108 peopleSame Organization
@ansys.com102
Shared Repositories
6
Work History
May 2026
3 Commits • 1 Features
May 1, 2026May 2026 monthly summary for ansys/pysimai: Key features delivered: - Updated example scripts to align with the latest SimAI API by replacing deprecated calls and introducing a new multi-process script for bulk uploading training data, enabling faster data preparation workflows. Major bugs fixed: - Resolved compatibility issues with the new optimization object in pysimai by adding a scalars dictionary and adjusting how predictions are executed and results are handled, ensuring a stable optimization workflow. Overall impact and accomplishments: - Improved developer experience and onboarding friction by removing API breakages, accelerating data ingestion, and stabilizing the optimization workflow. These changes enhance scalability for large training datasets and support smoother iterations in model development. Technologies/skills demonstrated: - Python multiprocessing and scripting for data workflows, API compatibility and integration, debugging and maintenance of library integrations, and robust handling of model optimization pipelines.
3 Commits • 1 Features
May 1, 2026May 2026 monthly summary for ansys/pysimai: Key features delivered: - Updated example scripts to align with the latest SimAI API by replacing deprecated calls and introducing a new multi-process script for bulk uploading training data, enabling faster data preparation workflows. Major bugs fixed: - Resolved compatibility issues with the new optimization object in pysimai by adding a scalars dictionary and adjusting how predictions are executed and results are handled, ensuring a stable optimization workflow. Overall impact and accomplishments: - Improved developer experience and onboarding friction by removing API breakages, accelerating data ingestion, and stabilizing the optimization workflow. These changes enhance scalability for large training datasets and support smoother iterations in model development. Technologies/skills demonstrated: - Python multiprocessing and scripting for data workflows, API compatibility and integration, debugging and maintenance of library integrations, and robust handling of model optimization pipelines.
May 2026
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026: Delivered Flexible Scalar Boundary Conditions in Simulation Model for ansys/pysimai. Refactored the model input and prediction workflows to replace boundary conditions with scalar representations, increasing configurability and enabling broader simulation scenarios. Documentation updates accompany the change (doc: boundary conditions to scalars #292) with co-authorship by Marie Lelandais. Commit reference: b9497b6f9de8cd56ec8e225a3c0f89aaf9601431.
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026: Delivered Flexible Scalar Boundary Conditions in Simulation Model for ansys/pysimai. Refactored the model input and prediction workflows to replace boundary conditions with scalar representations, increasing configurability and enabling broader simulation scenarios. Documentation updates accompany the change (doc: boundary conditions to scalars #292) with co-authorship by Marie Lelandais. Commit reference: b9497b6f9de8cd56ec8e225a3c0f89aaf9601431.
March 2026
1 Commits • 1 Features
Mar 1, 2026Month: 2026-03 — Focused on feature delivery and documentation improvements for non-parametric optimization in pysimai. Delivered a comprehensive code example for non-parametric optimization using automorphing in SimAI, demonstrating optimization of geometries without predefined parameters. This work enhances flexibility for design optimization workflows and reduces onboarding time for users exploring automorphing features. No major bugs fixed this month; stability maintained. Overall impact includes expanded optimization capabilities for customers, clearer guidance for users, and a solid foundation for broader adoption of automorphing. Technologies/skills demonstrated: Python, code exemplars, documentation, collaboration (co-authored commit).
1 Commits • 1 Features
Mar 1, 2026Month: 2026-03 — Focused on feature delivery and documentation improvements for non-parametric optimization in pysimai. Delivered a comprehensive code example for non-parametric optimization using automorphing in SimAI, demonstrating optimization of geometries without predefined parameters. This work enhances flexibility for design optimization workflows and reduces onboarding time for users exploring automorphing features. No major bugs fixed this month; stability maintained. Overall impact includes expanded optimization capabilities for customers, clearer guidance for users, and a solid foundation for broader adoption of automorphing. Technologies/skills demonstrated: Python, code exemplars, documentation, collaboration (co-authored commit).
March 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 — ansys/pysimai: Delivered a latent parameters retrieval refactor to a direct workspace method, removing redundant download/loading steps and updating predictions type annotations to reflect the new data structure. This simplifies the data pipeline, reduces latency, and improves maintainability and data contracts.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 — ansys/pysimai: Delivered a latent parameters retrieval refactor to a direct workspace method, removing redundant download/loading steps and updating predictions type annotations to reflect the new data structure. This simplifies the data pipeline, reduces latency, and improves maintainability and data contracts.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for ansys/pysimai: Delivered SimAI Quickstart Tutorials and Documentation Overhaul to accelerate onboarding and adoption. Implemented basic simulations workflow examples (create projects, upload training data, build models, run predictions) and restructured docs for clarity and accessibility. Key commit 5eeb00a0121d55b26bbab7ab3a301162eea114c2 (co-authored by Marie Lelandais) implements the new tutorials and structure (#225).
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for ansys/pysimai: Delivered SimAI Quickstart Tutorials and Documentation Overhaul to accelerate onboarding and adoption. Implemented basic simulations workflow examples (create projects, upload training data, build models, run predictions) and restructured docs for clarity and accessibility. Key commit 5eeb00a0121d55b26bbab7ab3a301162eea114c2 (co-authored by Marie Lelandais) implements the new tutorials and structure (#225).
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025For 2025-11, ansys/pysimai delivered GeomAI Onboarding Tutorials, providing end-to-end guidance for creating projects, uploading data, building models, and generating geometry. This feature enhances onboarding, accelerates user time-to-value, and demonstrates solid collaboration across the team. The effort included a co-authored commit (b26e6926f5431bce480feb095860d69475523b4b) with Marie Lelandais and Maid Sultanovic, laying the groundwork for broader GeomAI adoption and future tutorial-driven enhancements.
November 2025
1 Commits • 1 Features
Nov 1, 2025For 2025-11, ansys/pysimai delivered GeomAI Onboarding Tutorials, providing end-to-end guidance for creating projects, uploading data, building models, and generating geometry. This feature enhances onboarding, accelerates user time-to-value, and demonstrates solid collaboration across the team. The effort included a co-authored commit (b26e6926f5431bce480feb095860d69475523b4b) with Marie Lelandais and Maid Sultanovic, laying the groundwork for broader GeomAI adoption and future tutorial-driven enhancements.
Activity
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Quality Metrics
Correctness97.6%
Maintainability90.0%
Architecture90.0%
Performance92.6%
AI Usage35.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI DevelopmentAI IntegrationAPI IntegrationData ModelingData ScienceGenerative DesignMachine LearningPythonPython programmingPython scriptingSimulationSoftware Developmentdata analysisdata managementdata processing
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