Anirudh Durai Mohan

Engineered an intelligent resume parsing engine using LangChain document loaders and Pydantic for structured data extraction; built a responsive frontend with React 18, Vite, and TypeScript; leveraged Redis for persistent sessions and optimized API performance; implemented performance optimizations improving page load times by 40% and reducing bounce rates during early international expansion.

Engineered intelligent resume parsing engine with LangChain's document loaders and Pydantic schema validation for structured data extraction. Built responsive frontend using React 18, Vite's hot module replacement, and TypeScript with strict type checking. Leveraged Redis as a database for persistent session handling and optimized API performance through connection pooling. Implemented performance optimization strategies that improved page load times by 40%, signicantly enhancing user experience and contributing to a 25% reduction in bounce rates during the initial phase of international expansion.

Engineered a rule engine for edge computing products, enhancing sensor data analysis and cloud integration by 40% using object-oriented design principles. Achieved a 70% reduction in system response time through optimized Python architecture and algorithm refinement. Designed microservices supporting 10,000+ concurrent users with real-time data processing using C++. Led static and dynamic rule engine development improving efficiency by 30%. Mentored junior developers and coordinated cross-functional teams to deliver 4 major product releases on schedule within an agile cycle. Participated in daily standups and sprint planning to integrate scalable technologies.