
Tang Xiaolong developed and maintained core backend features for the LianjiaTech/bella-domify repository, focusing on secure, scalable document parsing and file processing pipelines. Over three months, Tang unified the document parsing API, implemented per-type caching, and expanded support to include DOCX parsing and DOCX-to-PDF conversion. The work involved extensive code refactoring, dependency management, and security hardening, including token validation and input checks. Tang also restructured HTTP worker lifecycles and Kafka consumer initialization to improve concurrency and reliability. Using Python, FastAPI, and Kafka, Tang delivered robust, maintainable systems that enhanced document workflow scalability, security, and developer productivity across the codebase.

September 2025 monthly summary for LianjiaTech/bella-domify focused on delivering new file-processing capability and reinforcing the architecture for scalable document handling.
September 2025 monthly summary for LianjiaTech/bella-domify focused on delivering new file-processing capability and reinforcing the architecture for scalable document handling.
Month 2025-08: Strengthened system reliability and scalability by restructuring HTTP worker lifecycle and enforcing safe Kafka consumer initialization. Implemented main-worker controlled Kafka startup, enhanced thread monitoring, and auto-restart for background parsing tasks. Increased HTTP process count to improve concurrency and reduce latency. Result: fewer duplicate messages, lower downtime, and faster throughput for end users.
Month 2025-08: Strengthened system reliability and scalability by restructuring HTTP worker lifecycle and enforcing safe Kafka consumer initialization. Implemented main-worker controlled Kafka startup, enhanced thread monitoring, and auto-restart for background parsing tasks. Increased HTTP process count to improve concurrency and reduce latency. Result: fewer duplicate messages, lower downtime, and faster throughput for end users.
May 2025 accomplishments for LianjiaTech/bella-domify focused on delivering a secure, scalable document parsing pipeline and performing extensive codebase maintenance. Key features delivered include a unified parsing API (parse_doc) with per-type caches, security hardening, and expanded parser support (including docx). Major maintenance activities included code cleanup, refactors, dependency updates, and clearer module structure to improve readability and maintainability. Major bugs fixed include parsing cache reliability improvements and removal of dead/unused code, along with strengthened input validation and user header enforcement. Overall impact includes improved security, reliability, and performance of the parsing service, broader document-type support, and enhanced developer velocity. Technologies/skills demonstrated include API design and architecture, caching strategies, security controls (AK checks, token validation), input validation, and extensive refactoring and dependency management.
May 2025 accomplishments for LianjiaTech/bella-domify focused on delivering a secure, scalable document parsing pipeline and performing extensive codebase maintenance. Key features delivered include a unified parsing API (parse_doc) with per-type caches, security hardening, and expanded parser support (including docx). Major maintenance activities included code cleanup, refactors, dependency updates, and clearer module structure to improve readability and maintainability. Major bugs fixed include parsing cache reliability improvements and removal of dead/unused code, along with strengthened input validation and user header enforcement. Overall impact includes improved security, reliability, and performance of the parsing service, broader document-type support, and enhanced developer velocity. Technologies/skills demonstrated include API design and architecture, caching strategies, security controls (AK checks, token validation), input validation, and extensive refactoring and dependency management.
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