Ziming Qi
Software Engineer at Tensor Auto
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolZiming Qi is a software engineer specializing in autonomous driving with a strong focus on data pipelines, model efficiency, and 3D object detection, backed by 1.5 years in perception/prediction roles and a broader 9-year engineering background. He has shipped active/continual training pipelines, novel data samplers combining active and contrastive learning, and open-set multi-modal data mining solutions, demonstrating an ability to turn research ideas into production-ready tooling. Proficient across Python, C/C++, Java, MATLAB, PyTorch, TensorFlow, Docker and Linux, he bridges algorithm development and systems engineering to optimize training and inference workflows. Based in San Jose, he has contributed to simulation and evaluation work at Tensor Auto and advanced autonomous data infrastructure at KargoBot. His academic foundation includes a master’s in Electrical and Electronics Engineering from UC San Diego and a bachelor’s in Computer Engineering from UC Santa Barbara. Colleagues note his knack for dataset pruning and creative efficiency improvements that yield measurable training and model performance gains.
9 years of coding experience
2 years of employment as a software developer
University of California, San DiegoBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at UC Santa Barbara
Github Skills (20)
speech-synthesis9
multimodal9
speech-to-text8
asr8
nmt8
machine-translation8
nlp7
large-language-models7
generative-ai7
natural-language-processing7
speech-recognition6
nlp-machine-learning6
chatbot6
deep-learning6
speaker-recognition6
Programming languages (1)
Github contributions (5)
leoqzm/ECE269
Feb 2022 - Feb 2022
Contributions:2 commits, 1 push, 1 branch in 1 day
leoqzm/BioMegatron
Jun 2022 - Jul 2022
Contributions:20 pushes, 1 branch in 25 days
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