Wyze's mission is to make great technology accessible to everyone. As Chief Scientist at Wyze, I am leading the AI Team and Subscription Engineering Team, a group of talented people with expertise in AI, Cloud, App, and Firmware, to pursue this mission by building TGTBT products and services.We have made cutting-edge AI extremely cost-efficient for Wyze cameras. We are passionate about what can be built and brought to users with the new AI revolution happening now.We are hiring Scientists, SDEs, and Interns.

As the VP of AI at Wyze, I have the privilege of leading the AI Team and Subscription Engineering Team, including AI, Cloud, App, and Firmware. My focus is on making cutting-edge AI technology accessible to everyone. Here's how I'm contributing:- Wyze AI Roadmap & Strategy: Steering the direction and future growth of Wyze's AI initiatives, integrating GenAI, Language Model Learning (LLM), and foundation models, as well as general computer vision and machine learning to level-up Wyze's business and enhance AI integration.- Wyze Subscription Services: Responsible for the design and enhancement of subscription services. More details can be found [here](https://prod.services.wyze.com/compare).- Edge AI & Edge-Cloud Collaboration Solution: Created solutions to offer top-tier AI features at cost-effective rates, emphasizing synergy between edge and cloud computing.- Smart Rule Recommendation: Led the development of intelligent recommendation systems for automation, evidenced by our published work available [here](https://arxiv.org/abs/2211.06812).- Smart Vision (a.k.a. Wyze Anything Recognition): Led the initiative in developing a consumer-grade no-code AI platform, engineered to democratize AI model building. More insights can be found [here](https://www.linkedin.com/posts/lin-chen-44346b15_smart-vision-faqs-activity-7071347075845681152-B9bt).My role at Wyze is marked by innovation, leadership, and a relentless pursuit of excellence in AI technology. I'm always eager to connect with like-minded professionals and collaborators. Feel free to reach out!

As the leader of the Wyze AI team, I had a transformative role in shaping the future of AI-powered smart home products. Here's an overview of my responsibilities and achievements:- Built the AI Team from Scratch: Carefully built a talented team of scientists and engineers, fostering innovation and collaboration.- Created Wyze's AI Strategy and Roadmap: Formulated a comprehensive AI strategy and roadmap, defining the future growth of Wyze's AI initiatives.- Developed Wyze's AI Features: Designed and implemented key AI features, such as object detection, sound detection, and face recognition, enhancing product functionality.- Created Wyze's Subscription Service and Engineering Foundation: Built the subscription service and underlying engineering foundation, laying the cornerstone for continuous growth.- Conducted Advanced R&D: Led research in innovative AI technologies, elevating Wyze's cameras and subscription services.

Led an international team, conducting R&D in computer vision to improve products, launch new products, and explore new directions: - face recognition in Huawei Cloud - object detection and image classification in Huawei Cloud - content moderation in Huawei Cloud - smart annotation in ModelArts of Huawei Cloud - desert recognition to facilitate self-checkout - object relation detection prototype which is used to detect rich content in an image and to facilitate better image retrieval - Album Graph to organize personal photos based on knowledge graph of heterogeneous information - 3rd place in the WebVision 2019 Challenge - 4th place in the Object Detection in Aerial Image Challenge 2019

Led the research and development of large scale visual recognition, such as label detection and image moderation.

Led the research and development of large scale visual recognition, such as label detection and image moderation.

Developed innovative technologies in machine learning and computer vision for object recognition and visual search, such as logo/brand recognition and apparel recognition/search.

Developed innovative technologies in machine learning and computer vision for object recognition and visual search, such as logo recognition and apparel recognition.

Developed innovative technologies in machine learning and computer vision for object recognition and visual search, such as logo/brand recognition, apparel recognition/search.

Developed machine learning and computer vision algorithms for medical image analysis, such as glaucoma detection and classification.

Investigated and developed feature extraction and machine learning technologies for defect recognition in aircraft engine.

● Developed algorithms to leverage the large amount of multimedia data available on the Internet for various applications in computer vision such as tag-based web photo retrieval and video-based event recognition.● Developed algorithms for large scale machine learning, such as large scale semi-supervised learning and large scale class hierarchy learning.● Developed algorithms to learn compact binary codes for large scale image indexing.

Designed and implemented a near real-time system for detecting pedestrians in surveillance videos.