Nuo Xu Email and Phone Number

Generative AI & LLMs: Developed and integrated large language models using Llama.cpp and Ollama for natural language processing and content generation.RAG Systems: Built retrieval-augmented generation (RAG) systems combining LLMs with knowledge retrieval to generate accurate, human-like responses.Mobile KBQA Solutions: Designed mobile knowledge-based QA solutions for Android, integrating JNI and CMake for real-time document and image analysis using PaddleOCR and NCNN.Cloud… Show more Generative AI & LLMs: Developed and integrated large language models using Llama.cpp and Ollama for natural language processing and content generation.RAG Systems: Built retrieval-augmented generation (RAG) systems combining LLMs with knowledge retrieval to generate accurate, human-like responses.Mobile KBQA Solutions: Designed mobile knowledge-based QA solutions for Android, integrating JNI and CMake for real-time document and image analysis using PaddleOCR and NCNN.Cloud Integration: Deployed scalable applications with Kubernetes and managed cloud storage with MinIO and OpenSearch for efficient data management.AR Development: Developed AR applications with Google ARCore and custom SLAM algorithms, enhancing real-time object recognition and user experiences.API & Infrastructure: Created real-time APIs using Flask and Spring Boot with secure reverse proxy setups via Nginx for reliable and high-performance systems.WebRTC Development: Implemented real-time communication systems using WebRTC for peer-to-peer video streaming and data sharing in AR applications. Show less

Integrated Jinja2 as the templating engine in Python to dynamically generate frontend components using Vue.js.Developed a robust frontend for attorneys and law firms utilizing Vue 3 Composition API, TypeScript, Vite, and Ant Design.Established a seamless connection between the Vue.js frontend and a Python Flask-based backend through GraphQL for efficient database queries and mutations.Utilized Vuex for state management, implementing actions, mutations, and getters to optimize data… Show more Integrated Jinja2 as the templating engine in Python to dynamically generate frontend components using Vue.js.Developed a robust frontend for attorneys and law firms utilizing Vue 3 Composition API, TypeScript, Vite, and Ant Design.Established a seamless connection between the Vue.js frontend and a Python Flask-based backend through GraphQL for efficient database queries and mutations.Utilized Vuex for state management, implementing actions, mutations, and getters to optimize data caching and retrieval from various components.Automated web scraping processes for marketing purposes using Python-based Selenium and Scrapy, extracting data from legal service websites. Show less

Developed a Stripe payment integration system using a Kotlin-based Spring Boot backend and React frontend, enabling secure and efficient transaction processing.Created a Chrome extension using pure JavaScript to capture real-time transcriptions in Google Meet, featuring highlighting functionality for key points.Implemented Google Sign-In and Google Calendar integration using Google OAuth 2.0 in a Spring Boot backend, enhancing user authentication and calendar management… Show more Developed a Stripe payment integration system using a Kotlin-based Spring Boot backend and React frontend, enabling secure and efficient transaction processing.Created a Chrome extension using pure JavaScript to capture real-time transcriptions in Google Meet, featuring highlighting functionality for key points.Implemented Google Sign-In and Google Calendar integration using Google OAuth 2.0 in a Spring Boot backend, enhancing user authentication and calendar management capabilities.Employed Liquibase and Flyway for database version control, ensuring reliable schema migrations and consistent database management.Designed and implemented a customer referral program to increase user engagement and promote brand visibility. Show less