Xin Fu
Software Engineer at Bloomberg
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolXin Fu is a software engineer with 9 years’ experience specializing in AI and ML platform engineering, currently building ML platform features and serverless inference at Bloomberg in London. He blends production-grade platform work—Kubernetes, Knative and KServe—with hands-on ML engineering, having led TensorFlow 2.0 migrations, built scalable inference validation pipelines, and implemented GPU-accelerated CV deployments using TensorRT. A prolific open-source contributor, he maintains a refactored Flask+Keras image-classifier deploy template and has added DCGAN, CapsNet and ACGAN examples to Microsoft’s samples-for-ai. His background includes research at Microsoft Research Asia (IEEE publication) and internships across Uber, Xiaomi and UBC, and he also contributes to developer UX and documentation through VuePress and LaTeX thesis templates. He holds an MEng from Cornell and a BE from Wuhan University.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE, Electronic Information Engineering, GPA 3.78, Bachelor of Engineering - BE, Electronic Information Engineering, GPA 3.78 at Wuhan UniversityMaster of Engineering - MEng, Electrical and Computer Engineering, GPA 3.88, Master of Engineering - MEng, Electrical and Computer Engineering, GPA 3.88 at Cornell University
Github Skills (28)
javascript10
python10
css10
machine-learning10
templater10
template-engine10
generative-adversarial-network10
flask-ask10
bibtex10
mask-rcnn10
keras10
latex10
vuepress10
deep-learning10
tensorflow10
Programming languages (18)
Github contributions (5)
imfing/vuepress-homepage
Apr 2018 - Feb 2020
:page_facing_up: Elegant & friendly homepage (bio, tech portfolio, resume, doc...) template with Markdown and VuePress
Role in this project:
Front-end Developer
Front-end DeveloperContributions:48 commits, 22 PRs, 28 pushes in 1 year 9 months
Contributions summary:Xin primarily focused on developing the front-end components and layout of the VuePress-based homepage. Their contributions include adding and modifying Vue.js components such as `Homepage`, `Projects`, and `MContent`, and introducing new components like `AboutCard` and `ProfileSection`. They also updated the configuration file and stylesheet to customize the appearance and functionality of the website, including supporting features like emoji and Katex.
templatetech-portfoliovueresume-portfoliomarkdown
imfing/keras-flask-deploy-webapp
Feb 2018 - Jan 2022
:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:35 commits, 28 PRs, 33 pushes in 3 years 11 months
Contributions summary:Xin significantly updated the image classification web application's interface and functionality. They refactored the frontend by removing Bootstrap and third-party JavaScript libraries, implementing drag-and-drop image uploading, and adding a result display box. They upgraded the backend by migrating to TensorFlow 2.0 and modifying the API to return results in JSON format. The user also implemented utility functions and updated the styles for a better user experience.
pythonclassifierflaskapp-templatetensorflow
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