Summary
Weiren Lan is an Artificial Intelligence Engineer based in Taipei with a decade of experience applying ML to audio and industrial problems. He has 7+ years focused on building and deploying production-grade AI systems, from speech enhancement and speaker recognition to factory-deployed anomaly detection and OCR proofs of concept. At DeepWave he shipped noise reduction, meter recognition, and machine-sound monitoring solutions, led intern teams end-to-end, and placed top-10 in a 282-team speech denoising competition. Earlier work in acoustic hardware and hearing-aid projects combined embedded firmware, DSP, and cloud deployment, demonstrating a rare cross-domain fluency from assembly-level DSP code to AWS-hosted deep learning services. He holds degrees in Electronics Engineering and Biomedical Electronics/Bioinformatics, and often bridges research ideas into fast prototypes that win customers and production deployments.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Electronics Engineering, Bachelor's degree, Electronics Engineering at 國立交通大學
Master's degree, Biomedical Electronics and Bioinformatics, Master's degree, Biomedical Electronics and Bioinformatics at 國立臺灣大學
Chinese, English