Free template · Datasheet design
Machine Learning Engineer portfolioin the Datasheet style
A free personal website for ML engineers. It opens with sample content written for your job, ai feature build and evaluation set-up included, so you change the words, add your photo and publish. No code.
No card needed · your own domain with Pro
The essentials
What a machine learning engineer portfolio should include
01
What you do, in one line
Example · AI features that work in production, not just in notebooks.
02
Services and prices
Example · AI feature build (Quote) · Evaluation set-up (S$4,500) · Cost review (S$3,000)
03
Results in numbers
Example · 30M requests a day · −58% inference cost · +14% search conversion
04
Proof from people you’ve worked with
Example · “Wei shipped the search improvement our users had wanted for two years.”
05
Skills people search for
Example · PyTorch · LLMs · Retrieval & ranking · Evaluation · MLOps · Python
06
One clear way to contact you
Example · Email, WhatsApp or a booking link, on every screen
Why Datasheet
How Datasheet presents a machine learning engineer
A component datasheet: part number, features, figures, absolute maximum ratings and your career as a chip pinout.
- It shows the skills and tools people search for.
- It shows a short, human introduction in your own voice.
- It shows your numbers up front, where a hiring manager or client sees them first.
- It shows your best work as case studies, each with the result it got.
- It shows where you’ve worked, in a clean timeline.
Your machine learning engineer website in three steps
01
Open it
Datasheet opens with sample content for ML engineers.
02
Make it yours
Click any text or photo to change it, or import your CV or LinkedIn.
03
Publish
Go live at a free Kitefolio address, or on your own domain with Pro.
More machine learning engineer portfolio designs
NotebookA computational notebook: In[1] / Out[1] cells, charts as outputs and your career run top to bottom.
TerminalYour career as a real terminal window on a sunlit desktop: tabs, a file explorer, a neofetch card, projects and a git log of jobs.
BlueprintA drafting-table portfolio: cyanotype grid, dimension lines, and projects drawn up like system diagrams.
Machine Learning Engineer portfolio questions
- What should a machine learning engineer portfolio include?
- Lead with what you do and who it’s for, then your services (for example ai feature build, evaluation set-up and cost review), your credentials (MSc Computer Science), key skills such as PyTorch, LLMs, Retrieval & ranking and Evaluation, reviews from people you’ve worked with, and one clear way to contact you, like WhatsApp or a booking link.
- Do ML engineers need a personal website?
- It helps. A website is the one link you can share everywhere, it shows up when people search your name, and it says more than a CV or a social profile: what you offer, what it costs and why people trust you. Kitefolio makes one in minutes, written for ML engineers.
- Is a machine learning engineer portfolio website free?
- Yes. Every design is free, and your website stays online at a free Kitefolio address. Pro puts it on your own domain for AED 35 a month, or AED 299 a year with the first year’s domain free (up to AED 60).
- Can I edit it without coding?
- Yes. Click any text or photo to change it, pick colours and fonts, and publish. The sample content for ML engineers gets you most of the way; you replace it with your own.
- Why use Datasheet for a machine learning engineer portfolio?
- Datasheet shows the skills and tools people search for, a short, human introduction in your own voice and your numbers up front, where a hiring manager or client sees them first. It opens with sample content written for ML engineers, so you replace words rather than start from a blank page.
Developer? The Datasheet code is free to download from its gallery page. More about the design is there too.