Weijing Lin

Led the development of a manufacturing testing tool for Google Devices and Services, ensuring high-quality product delivery. Implemented backend services with Python and FastAPI, integrating TensorFlow for building ML models and leveraging GCP and Borg/Kubernetes for scalable, high-performance deployment.

Designed, prototyped, and developed an internal AI project by creating a Generative AI web application and fintech Chatbots, integrated with LLMs to enhance the internal working environment. Built backend services with Node.js and Django with AWS and Google Cloud for cloud deployment, and managed services in microservices architecture with Docker for containerization and Splunk for monitoring and

Led the frontend team and collaborated with 3rd-party partner companies to implement growth data funnels for product observability across web, iOS, and Android platforms. Utilized JavaScript, TypeScript, React, Next.js, Material UI (MUI), and StoryBook to develop responsive and dynamic user interfaces, and WebGL, deck.gl alongside Google Maps for location-based data visualization.

Led the development of tools for Automatic Speech Recognition (ASR), providing support across teams for projects including Facebook Messenger Assistant and Oculus Speech Recognition. Built data processing pipelines with Python and Hive, automating the transfer of product data to machine learning data centers to enhance AI model training and performance.

Designed architecture and rapidly prototyped robot development tools, including controllers, development kits, and chat handling tools. Integrated AI/ML models for enhancing robot capabilities, working with computer vision to support HRI research with technologies such as Node.js, WebSocket, GraphQL, and 3D tech for dynamic and interactive robot interfaces.

Contributed to developing and optimizing the front end of a clinic platform across web, iOS and Android, working on features such as admin dashboard, payment billing, account management, and live video chat. Developed user interfaces using JavaScript, Angular, Bootstrap, D3.js, HTML, and CSS, integrating real-time communication with WebRTC and socket.io.

Studied computer science at San Jose State University from 2007 to 2011. Gained foundational knowledge in various computer science principles.

Completed an Associate of Science degree in Computer Science at City College of San Francisco. Developed core programming and computer science skills.