Feng Chen
Hong Kong, China
Summary
🤩
Rockstar🎓
Top SchoolFeng Chen is a data-driven analyst and aspiring fintech specialist with three years' experience applying machine learning and big data techniques at Alibaba and Huawei. He combines hands-on support engineering for big data platforms with practical analytics work—transforming large-scale datasets into actionable insights that improved user and business outcomes. Currently pursuing an MS in Financial Technology at CUHK, he is expanding into AI, blockchain, and cybersecurity applications for finance while grounded in a BASc in Machine Learning and Data Mining from UofT Scarborough. Known for automating platform reliability and troubleshooting complex systems, he enjoys solving cross-functional problems that bridge engineering and business. Feng is seeking roles where he can fuse analytics, scalable data engineering, and fintech innovation in a fast-moving environment.
3 years of coding experience
Master of Science - MS, Financial Technology, Master of Science - MS, Financial Technology at CUHK Faculty of EngineeringBachelor of Applied Science - BASc, Machine Learning and Data Mining, Bachelor of Applied Science - BASc, Machine Learning and Data Mining at University of Toronto Scarborough
Github Skills (27)
speaker-diarization10
speaker-verification10
multimodal10
speaker-recognition10
spectrum9
speech9
nlp8
python8
science8
natural-language-processing8
machine-learning8
deep-learning7
computer-vision7
pytorch6
artificial-intelligence6
Programming languages (1)
Github contributions (4)
modelscope/3D-Speaker
Mar 2023 - Apr 2026
A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization
Contributions:1 review, 75 PRs, 217 pushes in 3 years 1 month
multimodalspeaker-diarizationspeaker-recognitionspeaker-verificationcampplus
yfchenlucky/3D-Speaker
Jul 2024 - Jul 2024
A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization
Contributions:1 release, 1 tag in 1 day
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