Gopal Khandelwal

Engineered “Knowledge Navigator,” an AI-powered SaaS platform featuring LLM-driven document comparison and semantic search using RAG and prompt engineering. Optimized real-time LLM response streaming with buffer management and WebSocket integration to improve latency and responsiveness. Developed “Zain,” an interactive AI module with real-time speech recognition and transcription by combining WebRTC with NLP models, enabling voice-first user experiences. Built responsive AI interfaces using React.js, Redux, and Tailwind CSS with real-time feedback loops to keep users informed during AI processing.

Developed an AI-powered car simulator with computer vision and ML capabilities for RTO India, scaling deployment to multiple government clients. Integrated Google ML Kit for real-time facial recognition and user verification, achieving 95% accuracy for identity checks. Implemented real-time data processing pipelines to support AI inference and user interaction analytics. Improved simulator performance by 30% through optimized AI algorithms and efficient data structures.

Built scalable backend services using Node.js, Express.js, and MongoDB, implementing AI-driven game mechanics. Optimized real-time multiplayer systems to reduce latency by 25% via improved data structures and caching strategies. Developed intelligent player matching algorithms using machine learning, increasing user engagement by 40% and supporting smoother player experiences at scale.