A portfolio website for ML engineers.
One place for your services, fees, credentials and reviews, on your own domain. Every design below previews with a machine learning engineer’s sample portfolio, so you can see exactly how yours will read.
Start with NotebookThe headline
“AI features that work in production, not just in notebooks.”
Services & fees
- AI feature buildQuote
- Evaluation set-upS$4,500
- Cost reviewS$3,000
Skills & credentials
PyTorch · LLMs · Retrieval & ranking · Evaluation · MLOps · Python
MSc Computer Science
Designs that suit ML engineers
Notebook
PreviewA computational notebook: In[1] / Out[1] cells, charts as outputs and your career run top to bottom.
Terminal
PreviewYour career as a shell session: a prompt, a man-page bio, projects as processes and a git log of jobs.
Blueprint
PreviewA drafting-table portfolio: cyanotype grid, dimension lines, and projects drawn up like system diagrams.
Contributions
PreviewA contribution graph made from your actual years of work, with repositories pinned like a profile done properly.
Signal
PreviewNumbers first: oversized metrics, sparklines through your career and results stated plainly.
Datasheet
PreviewA component datasheet: part number, features, figures, absolute maximum ratings and your career as a chip pinout.