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<!DOCTYPE html>
<html lang="en-GB">
<head>
<title>About Me</title>
<link rel="stylesheet" href="styles.css">
<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Quicksand">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.6.0/jquery.min.js"></script>
<script type="text/javascript" src="main.js"></script>
</head>
<body>
<header>
<div class="title">
<h1>
<div class="front">
Jacob
</div>
<div class="behind">
<br> Brown
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<br><br><br>
</h1>
</div>
</header>
<nav>
<div href="./contact.html" class="a-fade transition" >Contact</div>
<div href="./about.html" class="activeNav a-fade transition" >About Me</div>
<div href="./" class="a-fade transition">Home</div>
</nav>
<main>
<div class="centred pureText" style="margin: 0 8% 0 8%;">
<h1>Hi!</h1>
<p>I'm Jacob, a third-year Computer Science undergrad at the University of Cambridge. I love to code, especially small projects — you can find a few of my favourites on my <a href="./">homepage</a>.</p>
<p>Over summer 2022 I undertook an internship at <a href="https://umbrella.cisco.com/">Cisco Umbrella</a>, working on their <a href="https://umbrella.cisco.com/products/data-loss-prevention-dlp">Data Loss Prevention (DLP) solution</a> (in short, a cloud-based network traffic analysis engine that prevents data leaks by scanning data sent through a secure web gateway). I coded in Java, mainly developing a user-facing application for encrypting customer data, though there were several instances where I branched out to other areas of the product, both to suggest and implement improvements, and to learn — one such example being how I saved almost 80% of program runtime in the worst scenario after finding a subtle problem in a library I was working with.</p>
<p>Aside from projects and work, I have a lot of interests within compsci, my favourite probably being algorithmic design; it shows up everywhere, from data science to computer architecture to graphics, and you can really appreciate the effort people have put into designing algorithms for efficiency. There's often a great accompanying story to these algorithms too, such as the development of the Ford-Fulkerson algorithm (it maximises flow through a graph), used to calculate both the maximum capacity of the Soviet rail system during the Cold War, and to see which "railway division" would be the most impactful to attack to reduce the Soviet's ability to transport troops or supplies (see the latter half of <a href="https://homepages.cwi.nl/~lex/files/histtrpclean.pdf")>this</a> for more).<p>
<p>In terms of hobbies outside of compsci, I love cycling, listening to music, gaming and travel. It's a bit of a dream of mine to tour Scandinavia one day, especially the northernmost parts to see the Northern Lights at their greatest. I'm learning Swedish so I won't be completely lost — det är ett vackart språk! </p>
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