Faraz Naeem

- Redesigned VIDIZMO architecture to support automatic video/audio redaction based on AI detection. - Deployed 1,000+ documentation pages via Docusaurus and YAML pipelines to to 'help.vidizmo.ai', reducing support workload by 20%. - Refactored the frontend of VIDIZMO Video Indexer to improve modularity, cutting integration time for new AI classes by 90%. - Built and integrated Device Detection into VIDIZMO Vision Indexer, enabling 4 new AI detection capabilities.

- Migrated 1,000+ articles from FreshDesk to VIDIZMO completely, cutting support queries by 15%. - Improved application performance by reducing bundle size by 5% using modern analysis tools. - Developed 4+ AI features, expanding detection to 6+ new classes. - Implemented Jest-based unit testing. - Accelerated development by pioneering AI-assisted coding tools. - Conducted Jest and AI tool training for 30+ developers. - Authored onboarding guides that reduced new developer setup time by 10%.

- Built a reporting script to ensure 100% accurate Azure DevOps test reports, streamlining validation workflows. - Designed and deployed E2E testing architecture for the VIDIZMO Electron app, covering 6 key use cases. - Boosted E2E pipeline efficiency by 10% through test case refactoring and performance optimization. - Led knowledge-sharing sessions to upskill team members in test automation best practices. - Automated test suites for 3+ features, reducing manual testing effort by 5%.