Summary
Shanlan Shen is an AI manager in Singapore with eight years of experience building and shipping machine-vision solutions across industrial and commercial electronics. She has led and grown AI teams, developed defect detection, segmentation and classification models deployed on 100+ machines, and built a runtime API for production deployment. Her background bridges firmware, FPGA/Verilog and high-level ML (TensorFlow/PyTorch), enabling end-to-end delivery from FPGA prototypes to cloud-enabled inference on AWS/GCP. At Black Sesame she focuses on image enhancement for RAW images, drawing on prior work in real-time vision systems and sensor firmware for precise industrial inspection. Known for turning research prototypes into fielded systems, she combines hands-on algorithm development with product-minded project leadership.
8 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Micro Electronics, Bachelor's degree, Micro Electronics at Xi'an University of Technology