Intro

I am a Master student with hands-on experience in anomaly detection and compiler design, seeking a software engineering internship in cloud computing or mobile apps.

Work

I developed and optimized a Few-Shot Anomaly Detection neural network. Achieved up to 99.8% accuracy among popular image datasets by inputting as few as 30 samples.

Beat 3 state-of-the-art (released no later than 2023) neural networks with the biggest accuracy difference being 26.2 percentage points by designing a custom loss function, combining multiple distance metric strategies.

About

This website showcases my projects and research areas that I am passionate about. Here, you'll find examples of my work in cloud and mobile computing, including personal projects, coursework, and internship experiences. I also share insights into the topics and technologies I am currently exploring, with a focus on advancing scalable solutions and innovative software development.

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i = 0;

							while (!deck.isInOrder()) {
							print 'Iteration ' + i;
							deck.shuffle();
							i++;
							}

							print 'It took ' + i + ' iterations to sort the deck.';

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  1. Dolor pulvinar etiam.
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  3. Felis enim feugiat.
  4. Dolor pulvinar etiam.
  5. Etiam vel felis lorem.
  6. Felis enim et feugiat.

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Name Description Price
Item One Ante turpis integer aliquet porttitor. 29.99
Item Two Vis ac commodo adipiscing arcu aliquet. 19.99
Item Three Morbi faucibus arcu accumsan lorem. 29.99
Item Four Vitae integer tempus condimentum. 19.99
Item Five Ante turpis integer aliquet porttitor. 29.99
100.00

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Name Description Price
Item One Ante turpis integer aliquet porttitor. 29.99
Item Two Vis ac commodo adipiscing arcu aliquet. 19.99
Item Three Morbi faucibus arcu accumsan lorem. 29.99
Item Four Vitae integer tempus condimentum. 19.99
Item Five Ante turpis integer aliquet porttitor. 29.99
100.00

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