- Led the development of a ReactJS-based frontend for real-time data visualization and interaction. - Transitioned the backend from NodeJS to Python, improving system performance and maintainability. - Developed a WebSocket-based multiplayer mode and WebRTC audio chat, enabling real-time user collaboration. - Built enterprise AI service using Python with multi-LLM provider architecture (OpenAI, Anthropic, Google Gemini, Groq). - Managed AWS infrastructure for backend services using EC2, S3, and Lambda. - Designed scalable AI agent system with context-aware processing and external service integrations.

- Rewrote backend modules from Java to NestJS, enhancing code maintainability and performance. - Built a user statistics service with a responsive frontend using ReactJS and integrated RESTful APIs for data retrieval. - Created a service for cross-border document exchange with ReactJS and Redux. - Developed and managed a Jenkins CI/CD pipeline, reducing deployment time by 50% and automating testing and integration. - Created real-time dashboards using ReactJS for tracking user activity and service performance.

- Developed a ReactJS and NextJS-based frontend for a video content platform, enabling seamless user experience for video streaming. - Designed the backend using Node.js, Express.js, and MongoDB, ensuring scalable storage and processing of video content. - Created AWS S3 buckets for secure video storage and built custom access control models to manage user access to video files. - Optimized platform performance to handle high-volume traffic, increasing reliability by 30%.