Cici Tan is a senior algorithm engineer with 10 years of experience blending applied AI, logistics forecasting, and product-focused ML engineering across startups and large enterprises. Based in Shanghai, she co-founded an education company and runs an art agency while contributing algorithm expertise at the leading container-shipping firm, where she built real-time price prediction and recommendation systems for logistics. Her background includes embedded and distributed face-recognition systems, medical imaging models for lung cancer detection, and production ML pipelines—skills she also applied to an open-source AI camera project enhancing facial recognition, clustering, and stranger detection. Comfortable leading teams and shipping end-to-end solutions, she bridges research, deployment, and business impact in both technical and creative domains.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of San Francisco
Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more
Role in this project:
ML Engineer
Contributions:2 releases, 34 commits, 6 PRs in 7 months
Contributions summary:Cici primarily focused on enhancing the AI capabilities of the deepcamera repository. Their work included integrating and training judgeutil, a likely component for improved facial recognition and classification within the camera's AI framework. They also added features for clustering and labeling unknown faces, and implemented batch processing to manage the identified stranger data. Additional contributions involved debugging and refining the object detection pipeline.
Contributions:3 pushes, 1 branch, 1 issue in 9 months
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