Kua.ai is a SaaS platform designed to enhance eCommerce success through AI-driven content generation. It offers solutions for various eCommerce challenges, including optimizing Amazon listings for SEO and conversion, auditing Amazon listings, and gaining insights from competitors. The platform also assists in identifying trending SEO topics, generating personalized blogs, and repurposing content across different channels. Kua.ai provides tools for listing products with one click, automating marketing content, and integrating seamlessly with platforms like Shopify and WooCommerce. It boasts AI agents for content creation, offering features like access to eCommerce data, web scraping, platform integration, infobase, and the use of state-of-the-art AI models like GPT-4. Kua.ai aims to simplify the selling journey, allowing users to focus on business growth.

Design the architecture of the Platform that connects data sources with ETL pipeline and analysis/AI services, and exposes the data services as APIs. This allows the developers to build the data analysis or AI services consuming arbitrary data sources and provides the report and dashboard as APIs, providing data&dataset as services without worrying about the data infrastructureDesign the Data Platform infrastructures, like Authentication/Authorization, Service Runtime, and API Gateway for internal and external services, Permission Control for services and data, which allow the developer to build data applications and provide the service to customers without worrying about the service/application infrastructureBuilt a team from zero to 12 engineers to build a Multi-Media processing pipeline and a SaaS(content-note.com), which processes millions of multimedia(video/audio/text) data and provides content analysis and AI-based content generation services based on NLP, Multimodal Machine Learning

Led an engineering team to build a cloud-based Media & Multimodal AI Service, which performs media transcoding, AI-based media improvement, and content generation in a distributed. This product is serving millions of tasks a day and supporting more than 100 customers in the launch yearDesigned and built a cloud-based Immersive Media Streaming Service, which provides immersive media streaming and broadcasting all in one service, and sidecar media stream transcoding and AI-based processingEstablished the Scrum development practice, DevOps infrastructure, and tools to facilitate product development, AI model training, and processingGood+ Performance and Best Quality Team of 2020

Design, develop and operate distributed system, real-time streaming and batch processing data infrastructure in autonomous driving scenario. Lead the product design and development of a ride sharing and operation system for autonomous driving vehicles which functions as an Uber with autonomous driving instead of human drivers: - The application backend built with the Microservice, Lambda Architecture, Kubernetes, AWS and Quarkus framework - A dispatching, monitoring and operation system for autonomous driving vehicles, which involves the state and consistency problem in distributed system - A communication system to provide reliable and fault tolerance communication of vehicle to Cloud, vehicle to vehicle, vehicle to RSU - A vehicle monitoring data real-time streaming processing system and data visualization based on Flink. This system also provides an offline analysis and simulation interface Build and maintain large scale of Kubernetes fleet, AWS infrastructure, formulate the code style and code review guide and API design guide

AWS Elastic Transcoder: AWS Elemental MediaConvert: Process video files and clips to prepare on-demand content for distribution or archiving.Designing, Developing, and Operating always-on highly scalable cloud services on AWS platform to serve thousands of customers in media industry.

- Participated in Trusted Computing Technology research and Trusted Computing Embedded Linux development- Researched in the Penetration Technology, like Web application vulnerability, Buffer overflow and ROP- Participated in Source Code Obfuscation project, and introduced Clang to maintain the source code, which supports more code structure transformation features

- Worked with a Web and Mobile Application development mercenary team in remote cooperation using Teambition for project management and Github for source code control- Helped several small companies in China integrate their applications with Wechat open platform, which increased the page view by an average of 50%- Developed an online payment library in Python which integrates the Web Application with the Wechat online payment API and Alipay payment API- Guided several companies to transform their backend platform to SOA and RESTful architecture. In the meantime, developed a RESTful API framework based on Flask to improve the development productivity

- Worked in the Storage Cluster team of the Infrastructure Architecture Department- Learn a lot about how to do a professional programmer and how to communicate with PM. Improving myself in teamwork skill- Developed cluster monitor system using C++ and Nagios to monitor the services running on the Tencent storage cluster- Introduced a new concurrence feature to the DevOps Job delivering system running on the cluster, which increased the throughput by 30%