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Merge pull request #10 from efergus/dev
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efergus authored Jul 23, 2024
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39 changes: 2 additions & 37 deletions README.md
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# create-svelte
# eferg.us

Everything you need to build a Svelte project, powered by [`create-svelte`](https://github.com/sveltejs/kit/tree/main/packages/create-svelte).

## Creating a project

If you're seeing this, you've probably already done this step. Congrats!

```bash
# create a new project in the current directory
npm create svelte@latest

# create a new project in my-app
npm create svelte@latest my-app
```

## Developing

Once you've created a project and installed dependencies with `npm install` (or `pnpm install` or `yarn`), start a development server:

```bash
npm run dev

# or start the server and open the app in a new browser tab
npm run dev -- --open
```

## Building

To create a production version of your app:

```bash
npm run build
```

You can preview the production build with `npm run preview`.

> To deploy your app, you may need to install an [adapter](https://kit.svelte.dev/docs/adapters) for your target environment.
[This is my personal website](https://eferg.us)
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*June 2023 - Present*

- Led penetration testing initiatives on various cloud applications, identifying
and mitigating critical OWASP vulnerabilities including stored XSS, unsecured
endpoints, logic flaws, and misconfigurations.
- Engineered secure cloud applications using SQL, NodeJS, AWS, and Google Cloud,
implementing robust security measures and ensuring compliance with industry
standards.
- Led penetration testing initiatives on various cloud applications, identifying
and mitigating critical OWASP vulnerabilities including stored XSS, unsecured
endpoints, logic flaws, and misconfigurations.
- Collaborated with cross-functional teams to design, develop, and deploy
full-stack solutions, enhancing application performance and security.

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### WebGPU-SPY

- First author of groundbreaking research discovering a novel GPU cache side channel using WebGPU and JavaScript.
- First author of groundbreaking research discovering a novel GPU cache side
channel using WebGPU and JavaScript.
- Achieved 90% (state-of-the-art) accuracy in performing website fingerprinting
through the identified side channel, demonstrating the potential for
significant security implications.
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