Zhiyuan Huang
Co-Founder at QCvision
United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolZhiyuan Huang is a technology-founder and software engineer with eight years of cross-disciplinary experience building data-driven products and operational tooling. As Co-Founder of QCvision and with hands-on roles in IoT, computer vision, and business intelligence across industry and research labs, he translates complex technical requirements into pragmatic solutions for product and project performance. His background spans agritech robotics, cloud IoT, and image-processing pipelines, complemented by business development and program leadership that keep solutions aligned to user and stakeholder needs. Zhiyuan blends academic rigor—currently a PhD student affiliation with NUS and postgraduate study at Imperial College—with startup tangibility, making him comfortable moving between prototypes and production. Based in the UK, he often acts as the bridge between strategy and implementation, mentoring teams and shaping cross-functional execution. An often-overlooked strength is his track record of rapidly integrating into diverse domains (from defense service to preschool web projects), which helps him accelerate impact in new problem spaces.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS Management, Master of Science - MS Management at Imperial College LondonTechnical University of MunichMinor Innovation and Design, Minor Innovation and Design at NUS Innovation and Design ProgrammeBachelor of Engineering - BE Electrical and Electronics Engineering, Bachelor of Engineering - BE Electrical and Electronics Engineering at National University of SingaporeRidge View Residential College
English, Chinese, German, Indonesian
Github Skills (44)
sentence-embeddings10
squad10
arabic-nlp10
corpus10
lda10
question-answering10
survey10
nlp10
turkish10
sentence-similarity10
neural-search9
natural-language-processing9
relation9
speech9
generative-model8
Programming languages (2)
Github contributions (5)
BDBC-KG-NLP/QA-Survey-CN
Jul 2020 - Jun 2022
北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。
Contributions:37 commits, 33 pushes, 1 comment in 2 years
mrctqasurveynatural-language-processingsquad
BDBC-KG-NLP/COVID-19-tracker
Feb 2020 - Mar 2020
Contributions:77 commits, 76 pushes, 1 branch in 27 days
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