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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>P Aaditya - Portfolio</title>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.2.0/css/all.min.css">
<style>
/* Basic CSS for styling the page with a dark theme */
body {
font-family: Arial, sans-serif;
line-height: 1.6;
background-color: #121212;
color: #e0e0e0;
margin: 0;
padding: 0;
}
.container {
width: 80%;
margin: auto;
overflow: hidden;
}
.showcase {
min-height: 400px;
text-align: center;
color: #fff;
display: flex;
justify-content: center;
align-items: center;
background: #1e1e1e;
background-image: linear-gradient(to bottom, #1e1e1e, #121212);
background-size: 100% 300px;
background-position: 0% 100%;
background-repeat: no-repeat;
transition: background-position 0.5s;
}
.showcase h1 {
font-size: 55px;
margin-bottom: 10px;
text-shadow: 0 0 10px rgba(255, 255, 255, 0.5);
}
.showcase p {
font-size: 20px;
text-shadow: 0 0 10px rgba(255, 255, 255, 0.5);
}
.content {
padding: 20px;
background: #1e1e1e;
margin-bottom: 20px;
border-radius: 8px;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
}
.content h2 {
color: #b71c1c;
margin-top: 0;
}
.profile-img {
text-align: center;
margin: 20px 0;
}
.profile-img img {
width: 150px;
height: 150px;
border-radius: 50%;
border: 2px solid #b71c1c;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.5);
}
a {
color: #b71c1c;
text-decoration: none;
transition: color 0.5s;
}
a:hover {
color: #fff;
}
ul {
list-style: none;
padding: 0;
margin: 0;
}
li {
margin-bottom: 10px;
}
strong {
font-weight: bold;
}
.social-links {
text-align: center;
margin: 20px 0;
}
.social-links a {
margin: 0 10px;
font-size: 24px;
color: #fff;
transition: color 0.5s;
}
.social-links a:hover {
color: #b71c1c;
}
</style>
</head>
<body>
<!-- Showcase section with introductory text -->
<section class="showcase">
<div class="container">
<h1>P Aaditya</h1>
<p>Artificial Intelligence & Machine Learning Enthusiast</p>
</div>
</section>
<!-- Profile Image -->
<div class="profile-img">
<img src="profile.jpg" alt="Profile Image">
</div>
<div class="container">
<!-- Combined content section -->
<section class="content">
<h2>Education</h2>
<ul>
<li>
<strong>Undergrad Degree:</strong>
<ul>
<li>Course: Artificial Intelligence & Machine Learning (BE)</li>
<li>Institution & University: Cambridge Institute of Technology under VTU</li>
<li>Period: 2020 - 2024</li>
</ul>
</li>
<li>
<strong>Samsung Innovation Campus (SIC):</strong>
<ul>
<li>Course: Artificial Intelligence & Machine Learning</li>
<li>Period: 250 hours</li>
<li>Project: Surgery Mortality Prediction</li>
</ul>
</li>
<li>
<strong>Convolutional Neural Networks in TensorFlow:</strong>
<ul>
<li>From: Coursera</li>
<li>Skills Learned: CNN</li>
</ul>
</li>
<li>
<strong>Introduction to TensorFlow for AI, ML, DL:</strong>
<ul>
<li>From: Coursera</li>
<li>Skills Learned: Computer Vision, TensorFlow, Machine Learning</li>
</ul>
</li>
</ul>
<h2>Experience</h2>
<ul>
<li>Completed a 6-month internship (Apr 2023 - Oct 2023) at Samsung Prism and worked on the project “Corrupted Image Detection” using Deep Learning</li>
<li>Completed a 6-month internship at Samsung in the domain of Generative AI (Oct 2023 – Apr 2024)</li>
<li>Completed a 1-month internship at Thoughtware Analytics from (Jan 2024 – Feb 2024)</li>
<li>Completed a 3-month internship at Vaisesika from (Apr 2024 – Jun 2024)</li>
<li>Currently working as Junior AI Engineer at Vaisesika from (Jun 2024)</li>
</ul>
<h2>Projects</h2>
<ul>
<li>
<strong>Corrupted Image Detection (Samsung):</strong>
<ul>
<li>Classify images based on whether they are corrupted or not</li>
<li>PyTorch framework was used with various CNN models such as TinyVGG, AlexNet, ResNetV1, and MobileNetV1 for mobile applications</li>
<li>DistributedDataParallel (DDP) was utilized to distribute the training workload across multiple GPUs</li>
</ul>
</li>
<li>
<strong>Surgery Mortality Prediction:</strong>
<ul>
<li>Determine whether patients can survive a particular surgery based on vitals</li>
<li>Used PyTorch with algorithms like Random Forest, CNN, and DNN</li>
</ul>
</li>
<li>
<strong>Quality Assurance Framework for AI-generated Images (Samsung):</strong>
<ul>
<li>Gathered a collection of image quality assurance metrics for assessing AI-generated images</li>
</ul>
</li>
<li>
<strong>Language to Language Models on the Opus Books Dataset:</strong>
<ul>
<li>Constructed a transformer and trained it on a translation task</li>
<li>Used PyTorch transformers with models like the standard transformer model, t5-small, nllb, and mbart</li>
<li>Fully Sharded Data Parallel (FSDP) was utilized to train the model on multiple GPUs</li>
</ul>
</li>
</ul>
<h2>Contact</h2>
<p>Email: <a href="mailto:aaditya.rescuer122@passinbox.com">aaditya.rescuer122@passinbox.com</a></p>
<div class="social-links">
<a href="#" target="_blank"><i class="fa-brands fa-linkedin"></i></a>
<a href="#" target="_blank"><i class="fa-brands fa-github"></i></a>
<a href="#" target="_blank"><i class="fa-brands fa-twitter"></i></a>
</div>
</section>
</div>
</body>
</html>