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Raphaël Huchet

PROFILE

Raphaël Huchet

Raphaël worked on the SocialGouv/srdt repository, delivering robust conversational AI features and optimizing chat data handling to improve user experience and system reliability. He implemented streaming APIs and enhanced data ingestion pipelines using Python and TypeScript, enabling real-time interactions and more reliable backend processing. His work included integrating Sentry for error tracking, Matomo for analytics, and refining the chat UI with React to support interactive follow-ups and efficient history management. By enforcing storage limits and pruning unnecessary data, Raphaël reduced local storage usage and improved performance, demonstrating a thoughtful approach to maintainability, observability, and scalable architecture throughout the codebase.

Overall Statistics

Feature vs Bugs

73%Features

Repository Contributions

62Total
Bugs
10
Commits
62
Features
27
Lines of code
10,683
Activity Months3

Work History

September 2025

1 Commits • 1 Features

Sep 1, 2025

September 2025 monthly summary: Focused on optimizing chat data handling and UX in SocialGouv/srdt. Implemented storage limits and data pruning to reduce footprint, removed unnecessary localSearchChunks data from conversation history, and prevented creation of new empty conversations to streamline UX. These changes improve performance, reduce local storage usage, and simplify user experience across chat modules.

July 2025

19 Commits • 5 Features

Jul 1, 2025

2025-07 monthly summary for SocialGouv/srdt: Delivered major UX and backend enhancements to enable robust, interactive conversational AI and better observability, along with maintainable architecture and more reliable data ingestion. Features delivered include Interactive Follow-up Chat with Streaming (new API routes; tally fixes), Chat UI Enhancements (clickable links, new-tab behavior, history rendering), Chat Analytics (Matomo events for sending messages, creating conversations, history visibility), Codebase Architecture and Maintenance (separate API fetch logic; rename analyze to generate; component refactor and modularization), and Albert Data Ingestion Reliability (per-text-file ingestion with metadata; improved deletion handling during re-ingestion). Major bugs fixed include follow-up tally data visibility, removal of non-streaming mode on frontend, disabling Sentry on Python localhost, and ensuring old collections are deleted during re-ingestion. Overall, these changes improve user experience, reliability, and maintainability; deliver measurable business value and cleaner, scalable architecture. Technologies/skills demonstrated: frontend React components and UI/UX improvements, API layer design for streaming and standard responses, Matomo analytics integration, codebase refactor and modularization, and data ingestion pipelines.

June 2025

42 Commits • 21 Features

Jun 1, 2025

June 2025 monthly summary focusing on delivering high-impact features, stabilizing core UX, and strengthening reliability and security across SocialGouv/srdt and social code-du-travail-numerique. The work emphasizes delivering business value through data ingestion capabilities, latency reductions, robust error tracking, and CI/secrets hygiene.

Activity

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Quality Metrics

Correctness90.2%
Maintainability91.0%
Architecture86.2%
Performance85.2%
AI Usage21.4%

Skills & Technologies

Programming Languages

CSSDockerfileHTMLJSONJavaScriptPythonShellTypeScriptYAMLyaml

Technical Skills

API DevelopmentAPI IntegrationAnalyticsAnalytics IntegrationBackend DevelopmentCI/CDCSSCSS ModulesCode CleanupCode CorrectionCode FormattingCode OrganizationCode RefactoringComponent DevelopmentConfiguration

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

SocialGouv/srdt

Jun 2025 Sep 2025
3 Months active

Languages Used

CSSDockerfileJSONJavaScriptPythonShellTypeScriptYAML

Technical Skills

API DevelopmentAPI IntegrationAnalytics IntegrationBackend DevelopmentCI/CDCSS

SocialGouv/code-du-travail-numerique

Jun 2025 Jun 2025
1 Month active

Languages Used

HTMLJavaScriptTypeScript

Technical Skills

Code CorrectionFrontend DevelopmentTypo Fix

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