
Nicolas Perriault developed and maintained the MTES-MCT/ecobalyse platform over 16 months, delivering 86 features and resolving 35 bugs to advance environmental impact analytics and data governance. He engineered robust backend and frontend systems using Elm, JavaScript, and Python, focusing on API design, authentication, and lifecycle modeling. His work included implementing localized energy mix calculations, granular data export, and cross-version session management, all while ensuring security and maintainability through regular dependency upgrades. By integrating advanced UI/UX features and refining data modeling, Nicolas enabled reliable, scalable simulations and improved user workflows, demonstrating depth in full stack development and sustainable software practices.

February 2026: Delivered key improvements in MTES-MCT/ecobalyse focused on bookmark management UX and data reliability across app versions. Implemented an in-place Bookmark Rename via Enter Key and fixed session persistence across versions with improved bookmark encoding/decoding to preserve data integrity. These changes reduce user friction, prevent data loss during upgrades, and strengthen overall platform stability. Demonstrates frontend UX, state management, and data serialization skills with business-value outcomes.
February 2026: Delivered key improvements in MTES-MCT/ecobalyse focused on bookmark management UX and data reliability across app versions. Implemented an in-place Bookmark Rename via Enter Key and fixed session persistence across versions with improved bookmark encoding/decoding to preserve data integrity. These changes reduce user friction, prevent data loss during upgrades, and strengthen overall platform stability. Demonstrates frontend UX, state management, and data serialization skills with business-value outcomes.
January 2026 – MTES-MCT/ecobalyse delivered a set of cross-version reliability improvements, lifecycle analytics enhancements, UI/UX refinements, and tooling upgrades, driving better data validity, user experience, and developer productivity. Notable outcomes include robust cross-version bookmark handling with restored storage behavior, staged lifecycle impact modeling and ECS rendering for guests, export/UX improvements across the Processes Explorer and related tools, enrichment of datasets with country data, and a broad stabilization/update cycle for dependencies with automated Elm formatting. These changes collectively improve business value by enhancing process transparency, data quality, and release confidence while reducing technical debt.
January 2026 – MTES-MCT/ecobalyse delivered a set of cross-version reliability improvements, lifecycle analytics enhancements, UI/UX refinements, and tooling upgrades, driving better data validity, user experience, and developer productivity. Notable outcomes include robust cross-version bookmark handling with restored storage behavior, staged lifecycle impact modeling and ECS rendering for guests, export/UX improvements across the Processes Explorer and related tools, enrichment of datasets with country data, and a broad stabilization/update cycle for dependencies with automated Elm formatting. These changes collectively improve business value by enhancing process transparency, data quality, and release confidence while reducing technical debt.
December 2025 performance summary for MTES-MCT/ecobalyse focusing on delivering features, fixing critical bugs, and driving business value through improved data discovery, UI usability, and security posture.
December 2025 performance summary for MTES-MCT/ecobalyse focusing on delivering features, fixing critical bugs, and driving business value through improved data discovery, UI usability, and security posture.
November 2025 delivered a feature set for MTES-MCT/ecobalyse that enhances environmental impact calculations with localized energy mixes, improving accuracy for country-specific life cycle assessments. The work included refactoring impact calculation logic to factor in energy sources by country, data handling improvements, and UI enhancements for managing component and item data. This lays the groundwork for region-aware sustainability analytics and more reliable stakeholder reporting.
November 2025 delivered a feature set for MTES-MCT/ecobalyse that enhances environmental impact calculations with localized energy mixes, improving accuracy for country-specific life cycle assessments. The work included refactoring impact calculation logic to factor in energy sources by country, data handling improvements, and UI enhancements for managing component and item data. This lays the groundwork for region-aware sustainability analytics and more reliable stakeholder reporting.
October 2025 for MTES-MCT/ecobalyse delivered significant improvements in version governance, lifecycle accuracy, and analytics reliability, while improving configurability and data integrity. Key work included enforcing semantic versioning, introducing end-of-life lifecycle stages, reworking analytics to Matomo and Plausible, enabling external lifecycle configurations, standardizing country data JSON fields, polishing the Textile UI, and upgrading dependencies and build/test tooling to strengthen security and developer productivity. These changes reduce misconfigurations, enable more accurate lifecycle decision-making, and improve user experience and data quality across the platform.
October 2025 for MTES-MCT/ecobalyse delivered significant improvements in version governance, lifecycle accuracy, and analytics reliability, while improving configurability and data integrity. Key work included enforcing semantic versioning, introducing end-of-life lifecycle stages, reworking analytics to Matomo and Plausible, enabling external lifecycle configurations, standardizing country data JSON fields, polishing the Textile UI, and upgrading dependencies and build/test tooling to strengthen security and developer productivity. These changes reduce misconfigurations, enable more accurate lifecycle decision-making, and improve user experience and data quality across the platform.
September 2025 highlights for MTES-MCT/ecobalyse: delivered features and fixes that increase data governance, simulation fidelity, regulatory usability, and data quality, while strengthening security and maintainability. Key work included granular data export, a durability control for object simulations, regulatory UI refinements, data integrity improvements, and enhanced results diagnostics. In addition, a Node.js dependency upgrade was performed to align with security patches and performance improvements, and several UI and API hardening items shipped.
September 2025 highlights for MTES-MCT/ecobalyse: delivered features and fixes that increase data governance, simulation fidelity, regulatory usability, and data quality, while strengthening security and maintainability. Key work included granular data export, a durability control for object simulations, regulatory UI refinements, data integrity improvements, and enhanced results diagnostics. In addition, a Node.js dependency upgrade was performed to align with security patches and performance improvements, and several UI and API hardening items shipped.
2025-08 monthly summary for MTES-MCT/ecobalyse: Delivered a new Process Administration Interface with enhanced search and filtering, and performed dependency upgrades to strengthen security and performance. No major bugs were recorded in this period based on provided data; focus was on feature delivery, maintainability, and release hygiene.
2025-08 monthly summary for MTES-MCT/ecobalyse: Delivered a new Process Administration Interface with enhanced search and filtering, and performed dependency upgrades to strengthen security and performance. No major bugs were recorded in this period based on provided data; focus was on feature delivery, maintainability, and release hygiene.
July 2025 performance summary for MTES-MCT/ecobalyse focused on delivering key product capabilities, hardening observability, and enabling safer admin workflows. Notable go-to-market value came from enabling new exploration capabilities, expanding back-office governance, and strengthening analytics/observability to drive data-driven decisions while maintaining a high-quality UX across UI surfaces.
July 2025 performance summary for MTES-MCT/ecobalyse focused on delivering key product capabilities, hardening observability, and enabling safer admin workflows. Notable go-to-market value came from enabling new exploration capabilities, expanding back-office governance, and strengthening analytics/observability to drive data-driven decisions while maintaining a high-quality UX across UI surfaces.
June 2025 highlights for MTES-MCT/ecobalyse: Delivered a secure and scalable backend with a new authentication system and a static backend URL, enabling reliable and secure API access. Implemented wide-ranging feature upgrades across textile domain, UI, and API layers, while closing critical bugs and hardening test infrastructure. Major business value realized includes improved security, data integrity in textile pricing/weight rules, better user experience for API token workflows, and reduced operational risk through dependency upgrades and documentation cleanup. Technical achievements include authentication system rollout, static URL hardening, textile defaults fixes, DSFR-based notifications, and robust test/config improvements.
June 2025 highlights for MTES-MCT/ecobalyse: Delivered a secure and scalable backend with a new authentication system and a static backend URL, enabling reliable and secure API access. Implemented wide-ranging feature upgrades across textile domain, UI, and API layers, while closing critical bugs and hardening test infrastructure. Major business value realized includes improved security, data integrity in textile pricing/weight rules, better user experience for API token workflows, and reduced operational risk through dependency upgrades and documentation cleanup. Technical achievements include authentication system rollout, static URL hardening, textile defaults fixes, DSFR-based notifications, and robust test/config improvements.
May 2025: Delivered critical stability and usability improvements in MTES-MCT/ecobalyse. Implemented back-office per-component export as base64-encoded JSON data URLs, hardened startup resilience by defaulting BACKEND_API_URL to an empty string when not set, and improved data handling and error reporting. These changes enhance uptime, admin export workflows, authentication reliability, and observability across the codebase.
May 2025: Delivered critical stability and usability improvements in MTES-MCT/ecobalyse. Implemented back-office per-component export as base64-encoded JSON data URLs, hardened startup resilience by defaulting BACKEND_API_URL to an empty string when not set, and improved data handling and error reporting. These changes enhance uptime, admin export workflows, authentication reliability, and observability across the codebase.
April 2025 performance summary for MTES-MCT/ecobalyse: Delivered admin-focused enhancements and data-management capabilities that boost operational control, data portability, and system stability. The month emphasized extending back-office capabilities, easing component data export, enabling multiple component instances, rendering lifecycle impacts, UI/name handling improvements, and maintaining a modern tech stack.
April 2025 performance summary for MTES-MCT/ecobalyse: Delivered admin-focused enhancements and data-management capabilities that boost operational control, data portability, and system stability. The month emphasized extending back-office capabilities, easing component data export, enabling multiple component instances, rendering lifecycle impacts, UI/name handling improvements, and maintaining a modern tech stack.
March 2025 (MTES-MCT/ecobalyse): Key features delivered included API deprecation and cleanup preparing for a major version; Changelog Display Modernization by sourcing from local CHANGELOG.md and integrating into the Editorial page; Maintenance: Dependencies Upgrades and Template Management across Node.js, Django, and Python with security improvements; Advanced Component Element Customization enabling final mass adjustments, element transforms, material selection, new element capabilities, and custom naming; and Simulation UI Bug Fixes addressing food transform scoping and textile simulation spinning-country override. Major bugs fixed: addressed UI scoping issues in food transforms and spinning-country override in the textile simulator. Overall impact: reduced technical debt, improved security posture, streamlined release preparation, expanded component customization capabilities, and more reliable simulations. Technologies/skills demonstrated: REST API lifecycle and deprecation, OpenAPI maintenance, cross-stack dependency management (Node.js, Django, Python), UI/UX improvements, component-based design, and release engineering.
March 2025 (MTES-MCT/ecobalyse): Key features delivered included API deprecation and cleanup preparing for a major version; Changelog Display Modernization by sourcing from local CHANGELOG.md and integrating into the Editorial page; Maintenance: Dependencies Upgrades and Template Management across Node.js, Django, and Python with security improvements; Advanced Component Element Customization enabling final mass adjustments, element transforms, material selection, new element capabilities, and custom naming; and Simulation UI Bug Fixes addressing food transform scoping and textile simulation spinning-country override. Major bugs fixed: addressed UI scoping issues in food transforms and spinning-country override in the textile simulator. Overall impact: reduced technical debt, improved security posture, streamlined release preparation, expanded component customization capabilities, and more reliable simulations. Technologies/skills demonstrated: REST API lifecycle and deprecation, OpenAPI maintenance, cross-stack dependency management (Node.js, Django, Python), UI/UX improvements, component-based design, and release engineering.
February 2025 monthly summary for MTES-MCT/ecobalyse highlighting delivery of new features, stability improvements, and documentation enhancements across the platform. Emphasis on delivering business value through data enrichment, UI improvements, and maintainability while preparing for open-source self-hosting options and enhanced security posture.
February 2025 monthly summary for MTES-MCT/ecobalyse highlighting delivery of new features, stability improvements, and documentation enhancements across the platform. Emphasis on delivering business value through data enrichment, UI improvements, and maintainability while preparing for open-source self-hosting options and enhanced security posture.
January 2025 — MTES-MCT/ecobalyse delivered core feature improvements for trims and explorer metrics, enhanced process visibility, and strengthened security and performance. Key features include Textile Trims Implementation and Explorer Integration with updated API parameter ordering, additional textile examples, rendering in the explorer, expandable trim details, and durability applied to trims impacts. Explorer: Detailed Impacts Access for Staff was enabled to broaden visibility into impact data. Process Explorer: Added process-level metrics (heat, electricity, waste, density) for more actionable insights. Stability and security improvements include a Django upgrade to address security vulnerabilities, an in-memory merge of component and process databases for efficiency, and fixes to improve data reliability and UX. Tooling and CI refinements (pre-commit cleanup, YAML action legibility, updated docs) reduce maintenance overhead and technical debt.
January 2025 — MTES-MCT/ecobalyse delivered core feature improvements for trims and explorer metrics, enhanced process visibility, and strengthened security and performance. Key features include Textile Trims Implementation and Explorer Integration with updated API parameter ordering, additional textile examples, rendering in the explorer, expandable trim details, and durability applied to trims impacts. Explorer: Detailed Impacts Access for Staff was enabled to broaden visibility into impact data. Process Explorer: Added process-level metrics (heat, electricity, waste, density) for more actionable insights. Stability and security improvements include a Django upgrade to address security vulnerabilities, an in-memory merge of component and process databases for efficiency, and fixes to improve data reliability and UX. Tooling and CI refinements (pre-commit cleanup, YAML action legibility, updated docs) reduce maintenance overhead and technical debt.
December 2024 focused on delivering a robust, cross-domain data platform with a revamped component system, unified data models, and stronger quality assurance. Key outcomes include reusable JSON-based components with an explorer, standardized identifiers across domains for data integrity, stabilized UI after library updates, and enhanced validation and security through schema validation and dependency upgrades. These efforts improve cross-domain interoperability, reduce maintenance costs, and enable scalable product features.
December 2024 focused on delivering a robust, cross-domain data platform with a revamped component system, unified data models, and stronger quality assurance. Key outcomes include reusable JSON-based components with an explorer, standardized identifiers across domains for data integrity, stabilized UI after library updates, and enhanced validation and security through schema validation and dependency upgrades. These efforts improve cross-domain interoperability, reduce maintenance costs, and enable scalable product features.
November 2024 (MTES-MCT/ecobalyse): Delivered critical data integrity, usability, and security improvements. Key outcomes include fixing displayName serialization, enabling self-service via a new API FAQ page, upgrading dependencies for security and stability, and refining Textile economics reference thresholds to better reflect durability. These changes reduce data errors, improve developer onboarding, bolster security posture, and optimize economic modeling for textiles.
November 2024 (MTES-MCT/ecobalyse): Delivered critical data integrity, usability, and security improvements. Key outcomes include fixing displayName serialization, enabling self-service via a new API FAQ page, upgrading dependencies for security and stability, and refining Textile economics reference thresholds to better reflect durability. These changes reduce data errors, improve developer onboarding, bolster security posture, and optimize economic modeling for textiles.
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