Yonk Shi
AI Engineer at Kive
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolYonk Shi is an AI engineer and former PhD researcher who blends deep representation-learning expertise with 11 years of software engineering experience to deliver production-ready ML systems. He has published at NeurIPS and ICLR and has built end-to-end solutions across computer vision, speech, and language—shipping segmentation models, audio classifiers, and multilingual transformer evaluations. At companies from startups to industrial partners in Sweden, he’s led teams, architected GCP Vertex AI pipelines, and deployed models to edge devices while keeping reliability and human-in-the-loop quality workflows central. Recently he helped scale Kive.ai’s studio-grade image/video generation quality engine and co-founded a voice-based language tutor that combines ASR with LLM orchestration. Colleagues describe him as curious, dependable, and pragmatic—someone who turns open-ended research ideas into testable, production-grade features. Outside work he’s an avid sailor and amateur MSG evangelist, hinting at a practical, experimental approach to both cooking and engineering.
11 years of coding experience
6 years of employment as a software developer
University of California, San DiegoDoctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at KTH Royal Institute of Technology
English, Chinese, Swedish, French
Github Skills (67)
toolbox10
generative-adversarial-network10
robotics9
python9
stable-baselines9
optimization9
pytorch9
machine-learning9
segmentation9
visual-recognition9
reinforcement-learning9
swift8
django8
detectron8
deep-learning8
Programming languages (5)
Github contributions (5)
yonkshi/urban_dl
Sep 2019 - Aug 2021
deel learning project on monitoring urban development. Data source: Sentinel 2A/B EO satellites
Contributions:16 PRs, 734 pushes, 11 branches in 1 year 11 months
data-sourcelearning-projectsentinel-1deel-learninginsar
yonkshi/SPAIR_pytorch
Jun 2019 - Aug 2019
pytorch implementation of Spatially Invariant Unsupervised Object Detection with VAE
Contributions:34 commits, 18 pushes, 3 branches in 2 months
object-detectionpytorch
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