Summary
Yuqi Zhang is a software engineer and researcher blending machine learning, computer vision, and data analytics with eight years of hands-on experience across academia and industry. He is a Graduate Student Researcher at Dartmouth College and a master’s student in Electrical & Computer Engineering at UCSD, collaborating with PIs James Haxby and Richard Granger on cognitive neuroscience projects. His industry trace includes a Senior Software Engineer role at Meta and impactful internships at Facebook, MultiComp Lab, AWA Digital, and DataProphet, where he delivered performance optimizations and ML-powered tooling. Notable accomplishments include feeding 1 million+ ImageNet images into a PyTorch-trained VGG19, analyzing neuron tunings and population sparsity, reducing user wait times from 48 hours to 30 seconds, building OpenFace 3.0 for facial landmark and action unit recognition, and achieving up to 105x CNN inference speedups on CPU with MKL-DNN and cuDNN. He also has hands-on experience deploying real-time CNN inference, large-scale data analytics, and data-driven decision making from A/B tests. Based in Hanover, New Hampshire, he is seeking a summer internship in Software Engineering or Data Science to translate research insights into scalable, product-focused solutions.
8 years of coding experience
6 years of employment as a software developer
Nanjing Foreign Language School
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at EPFL (École polytechnique fédérale de Lausanne)
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Carnegie Mellon University
English, Chinese, Spanish