
Nacho Hovan contributed to the Arquisoft/wichat_en2b repository by engineering robust backend and full stack features, including a MongoDB-based quiz model with integrated router methods and comprehensive test coverage. He refactored the LLM service API for clarity, implemented end-to-end two-factor authentication across frontend and backend using JavaScript and Node.js, and enhanced deployment workflows with CI/CD and secret management. His work included dynamic statistics search, UI responsiveness improvements, and OpenAPI specification updates to support scalable partner integrations. Through careful code refactoring, modular service scaffolding, and thorough testing, Nacho delivered maintainable solutions that improved reliability and developer experience throughout the project.

April 2025 performance summary for Arquisoft/wichat_en2b: Delivered a cohesive set of features and stability improvements around the quiz ecosystem, enabling end-to-end quiz creation, delivery and analytics flows. Strengthened observability, testing, and API surface to support scaling and partner integrations, while delivering tangible business value through a more reliable user experience and data-driven insights.
April 2025 performance summary for Arquisoft/wichat_en2b: Delivered a cohesive set of features and stability improvements around the quiz ecosystem, enabling end-to-end quiz creation, delivery and analytics flows. Strengthened observability, testing, and API surface to support scaling and partner integrations, while delivering tangible business value through a more reliable user experience and data-driven insights.
March 2025 performance focused on scalable AI integration, robust authentication, deployment readiness, and quality assurance. Key work included refactoring the LLM service to the askllm API with in-memory context and result filtering to avoid exposing available answers; establishing router scaffolding for modular service integration; delivering a comprehensive 2FA solution across frontend and backend with QR provisioning, verification windows, token flow, and status checks, plus gateway integration and tests; hardening deployments with release config and secrets management; and expanding test coverage with UI tests and test suite stabilization to improve reliability and release confidence.
March 2025 performance focused on scalable AI integration, robust authentication, deployment readiness, and quality assurance. Key work included refactoring the LLM service to the askllm API with in-memory context and result filtering to avoid exposing available answers; establishing router scaffolding for modular service integration; delivering a comprehensive 2FA solution across frontend and backend with QR provisioning, verification windows, token flow, and status checks, plus gateway integration and tests; hardening deployments with release config and secrets management; and expanding test coverage with UI tests and test suite stabilization to improve reliability and release confidence.
February 2025 — Arquisoft/wichat_en2b delivered a focused API clarity improvement by renaming the LLM service endpoint from '/ask' to '/askllm' in llm-service.js, aligning endpoint naming with functionality and enhancing developer experience. The change is tracked in a single commit for traceability and future maintainability.
February 2025 — Arquisoft/wichat_en2b delivered a focused API clarity improvement by renaming the LLM service endpoint from '/ask' to '/askllm' in llm-service.js, aligning endpoint naming with functionality and enhancing developer experience. The change is tracked in a single commit for traceability and future maintainability.
Overview of all repositories you've contributed to across your timeline