ansys/pysimai
Nov 2024 – Feb 2026
11 Months active
Languages Used
PythonTOMLreStructuredTextYAMLRSTrsttomlMarkdown
Technical Skills
API DevelopmentChangelog ManagementDocumentationOptimization AlgorithmsPythonRelease Management
Marc Planelles
PROFILE
Marc Planelles
Over an 11-month period, contributed to the ansys/pysimai repository by building and refining backend features focused on API development, authentication management, and CI/CD tooling. Delivered enhancements such as offline token-based authentication, non-parametric optimization support, and robust GeomAI API integrations, using Python and YAML for implementation and configuration. Improved system reliability through error handling, dependency management, and documentation updates, while addressing bugs in areas like SSE streaming and endpoint routing. Modernized build pipelines with uv and GitHub Actions, and strengthened security governance with standardized vulnerability reporting. The work emphasized maintainability, stability, and clear documentation to support scalable, enterprise-grade workflows.
Overall Statistics
Feature vs Bugs
65%Features
Repository Contributions
21Total
Bugs
7
Commits
21
Features
13
Lines of code
35,013
Activity Months11
Your Network
108 peopleSame Organization
@ansys.com102
Shared Repositories
6
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for ansys/pysimai: Key feature delivered: Offline token-based user authentication with offline token generation and management, enhancing security and user experience. Major bugs fixed: None reported for this period. Overall impact and accomplishments: Strengthens authentication security, enables offline workflows, and improves resilience and user experience for enterprise deployments. Demonstrated technologies and skills: security-focused design, token-based authentication, commit-level traceability and collaboration, aligned with security best practices. Key achievements: - Implemented offline token-based user authentication (commit 0b399a5b91fc39bad30618d7b860fd87da6578c7) (#254) - Improved security posture and user experience by enabling offline authentication flows - Established clear commit traceability and readiness for future offline-first features
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for ansys/pysimai: Key feature delivered: Offline token-based user authentication with offline token generation and management, enhancing security and user experience. Major bugs fixed: None reported for this period. Overall impact and accomplishments: Strengthens authentication security, enables offline workflows, and improves resilience and user experience for enterprise deployments. Demonstrated technologies and skills: security-focused design, token-based authentication, commit-level traceability and collaboration, aligned with security best practices. Key achievements: - Implemented offline token-based user authentication (commit 0b399a5b91fc39bad30618d7b860fd87da6578c7) (#254) - Improved security posture and user experience by enabling offline authentication flows - Established clear commit traceability and readiness for future offline-first features
February 2026
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025: Focused on API reliability improvements in ansys/pysimai by tuning the HTTP client timeout. Implemented a 15-second default timeout for the httpx client to prevent premature timeouts under slow network conditions. This reduces intermittent API call failures and supports more stable downstream integrations. No separate bugs fixed this month; primary accomplishment is increased resilience and business value from more reliable API interactions. Technical impact includes network resilience tuning, maintainable configuration change, and traceability via commit 07c12f6702caf2fe7fbb45a88c011223357bd017.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025: Focused on API reliability improvements in ansys/pysimai by tuning the HTTP client timeout. Implemented a 15-second default timeout for the httpx client to prevent premature timeouts under slow network conditions. This reduces intermittent API call failures and supports more stable downstream integrations. No separate bugs fixed this month; primary accomplishment is increased resilience and business value from more reliable API interactions. Technical impact includes network resilience tuning, maintainable configuration change, and traceability via commit 07c12f6702caf2fe7fbb45a88c011223357bd017.
October 2025
1 Commits
Oct 1, 2025October 2025: Focused on stabilizing GeomAI API behavior in ansys/pysimai. No new user-facing features were delivered this month; primary achievement was a targeted bug fix to correct the GeomAI predictions deletion endpoint, ensuring delete requests hit the correct resource and reducing the risk of data inconsistencies. The change improves API reliability and developer experience, laying groundwork for future endpoint normalization and better alignment with product expectations.
1 Commits
Oct 1, 2025October 2025: Focused on stabilizing GeomAI API behavior in ansys/pysimai. No new user-facing features were delivered this month; primary achievement was a targeted bug fix to correct the GeomAI predictions deletion endpoint, ensuring delete requests hit the correct resource and reducing the risk of data inconsistencies. The change improves API reliability and developer experience, laying groundwork for future endpoint normalization and better alignment with product expectations.
October 2025
September 2025
2 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Focused on strengthening real-time data ingestion in ansys/pysimai by migrating the SSE client to niquest built-in support, improving reliability and reducing external dependencies. Implemented robust error handling for SSE retries, and aligned dependencies to ensure stability across environments. Delivered with updated tests and lockfile adjustments to support the new architecture. Overall, this work reduces maintenance burden, enhances performance, and enables more scalable streaming data processing for downstream analytics.
September 2025
2 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Focused on strengthening real-time data ingestion in ansys/pysimai by migrating the SSE client to niquest built-in support, improving reliability and reducing external dependencies. Implemented robust error handling for SSE retries, and aligned dependencies to ensure stability across environments. Delivered with updated tests and lockfile adjustments to support the new architecture. Overall, this work reduces maintenance burden, enhances performance, and enables more scalable streaming data processing for downstream analytics.
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 focused on strengthening security governance for ansys/pysimai by adding a comprehensive SECURITY.md to standardize vulnerability reporting, improve triage efficiency, and bolster trust with users and contributors.
1 Commits • 1 Features
Aug 1, 2025August 2025 focused on strengthening security governance for ansys/pysimai by adding a comprehensive SECURITY.md to standardize vulnerability reporting, improve triage efficiency, and bolster trust with users and contributors.
August 2025
July 2025
2 Commits • 2 Features
Jul 1, 2025July 2025: Focused on strengthening GeomAI integration and release readiness for pysimai. Key outcomes include API refactor enabling safer config management, removal of deprecated artefacts, and a stable v0.3.2 release across ansys-simai-core with improved documentation. QA enhancements improved reliability of GeomAI workflows, and docs improvements supported onboarding and faster adoption. These changes reduce runtime errors, accelerate feature delivery, and improve maintainability across the project.
July 2025
2 Commits • 2 Features
Jul 1, 2025July 2025: Focused on strengthening GeomAI integration and release readiness for pysimai. Key outcomes include API refactor enabling safer config management, removal of deprecated artefacts, and a stable v0.3.2 release across ansys-simai-core with improved documentation. QA enhancements improved reliability of GeomAI workflows, and docs improvements supported onboarding and faster adoption. These changes reduce runtime errors, accelerate feature delivery, and improve maintainability across the project.
June 2025
4 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for ansys/pysimai. Delivered four strategic items across CI/CD tooling modernization, API expansion, SSE client reliability, and core library updates. Business impact: faster build/test cycles via uv-based tooling, broader GeomAI capabilities with comprehensive API/docs, improved SSE streaming reliability, and enhanced optimization tooling through SimAI core library v0.3.1. Technologies demonstrated include uv for dependency management, GeomAI API, urllib3 error handling, and core library enhancements.
4 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for ansys/pysimai. Delivered four strategic items across CI/CD tooling modernization, API expansion, SSE client reliability, and core library updates. Business impact: faster build/test cycles via uv-based tooling, broader GeomAI capabilities with comprehensive API/docs, improved SSE streaming reliability, and enhanced optimization tooling through SimAI core library v0.3.1. Technologies demonstrated include uv for dependency management, GeomAI API, urllib3 error handling, and core library enhancements.
June 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025Month: 2025-04 | Summary of pysimai work focusing on CI robustness and observability improvements. This month delivered a bug fix to stabilize the license checks in CI and a feature enhancement to improve request traceability by including Python version in the User-Agent header. These changes reduce CI flakiness and improve debugging across environments, contributing to faster release cycles and higher build reliability.
April 2025
2 Commits • 1 Features
Apr 1, 2025Month: 2025-04 | Summary of pysimai work focusing on CI robustness and observability improvements. This month delivered a bug fix to stabilize the license checks in CI and a feature enhancement to improve request traceability by including Python version in the User-Agent header. These changes reduce CI flakiness and improve debugging across environments, contributing to faster release cycles and higher build reliability.
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for ansys/pysimai. Key features delivered include a CI build stabilization for documentation, a fix for stale PointCloud cache on deletion, and a release of pysimai 0.2.7 with efficient training iteration and endpoint/cache fixes. The changes reduced CI noise, improved data integrity, and accelerated training workflows, delivering business value and robust release engineering.
3 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for ansys/pysimai. Key features delivered include a CI build stabilization for documentation, a fix for stale PointCloud cache on deletion, and a release of pysimai 0.2.7 with efficient training iteration and endpoint/cache fixes. The changes reduced CI noise, improved data integrity, and accelerated training workflows, delivering business value and robust release engineering.
March 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for ansys/pysimai. Focused on strengthening the model-building pipeline by adding pre-build validation to ensure a project is trainable and clarifying configuration through a parameter rename. These changes reduce build-time errors, improve reliability, and provide clearer semantics for users configuring model-building workflows. The work aligns with business goals of stability and maintainability in the model-building stack.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for ansys/pysimai. Focused on strengthening the model-building pipeline by adding pre-build validation to ensure a project is trainable and clarifying configuration through a parameter rename. These changes reduce build-time errors, improve reliability, and provide clearer semantics for users configuring model-building workflows. The work aligns with business goals of stability and maintainability in the model-building stack.
November 2024
3 Commits • 1 Features
Nov 1, 2024Monthly performance summary for 2024-11: delivered key features and stability improvements in ansys/pysimai, including non-parametric optimization support and release enhancements, code refactors for optimization workflows, and documentation fixes that improve clarity and usability.
3 Commits • 1 Features
Nov 1, 2024Monthly performance summary for 2024-11: delivered key features and stability improvements in ansys/pysimai, including non-parametric optimization support and release enhancements, code refactors for optimization workflows, and documentation fixes that improve clarity and usability.
November 2024
Activity
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Quality Metrics
Correctness87.2%
Maintainability88.6%
Architecture85.8%
Performance80.0%
AI Usage22.0%
Skills & Technologies
Programming Languages
MarkdownPythonRSTTOMLYAMLreStructuredTextrsttoml
Technical Skills
API DevelopmentAPI IntegrationAPI developmentBackend DevelopmentBug FixCI/CDChangelog ManagementData ManagementData ModelingDependency ManagementDevOpsDocumentationError HandlingGitHub ActionsNetwork Programming
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline