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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="google-site-verification" content="mZvLQIlEdvMJwhsQ0Iut5EDUd7kZwLDLAcQSW9IxjWQ" />
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>subrata | a random guy</title>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/bulma/0.7.0/css/bulma.min.css">
<link href="https://afeld.github.io/emoji-css/emoji.css" rel="stylesheet">
<script defer src="https://use.fontawesome.com/releases/v5.0.7/js/all.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
<style>
.buttonpay {
display: inline-block;
border-radius: 4px;
background-color: #4CAF50;
border: none;
color: #FFFFFF;
text-align: center;
font-size: 28px;
padding: 20px;
width: 200px;
transition: all 0.5s;
cursor: pointer;
margin: 5px;
}
.buttonpay span {
cursor: pointer;
display: inline-block;
position: relative;
transition: 0.5s;
}
.buttonpay span:after {
content: '\00bb';
position: absolute;
opacity: 0;
top: 0;
right: -20px;
transition: 0.5s;
}
.buttonpay:hover span {
padding-right: 25px;
}
.buttonpay:hover span:after {
opacity: 1;
right: 0;
}
.center {
display: block;
margin-left: auto;
margin-right: auto;
width: 50%;
}
.indigo-text{
color: #209cee;
}
</style>
</head>
<body>
<!-- Body Starts -->
<header class="navbar is-fixed-top has-background-dark is-transparent">
<div class="container ">
<div class="navbar-brand">
<a class="navbar-item is-active" id="homeB">
<img src="https://raw.githubusercontent.com/SubrataSarkar32/subratasarkar32.github.io/master/images/logo.png" alt="Logo">
</a>
<span class="navbar-burger burger has-background-light" data-target="navbarMenuHeroC">
<span></span>
<span></span>
<span></span>
</span>
</div>
<div id="navbarMenuHeroC" class="navbar-menu">
<div class="navbar-end">
<a class="navbar-item has-text-white" id="skillB">
Skill
</a>
<a class="navbar-item has-text-white" id="workB">
Work
</a>
<a class="navbar-item has-text-white" id="lifeB">
About
</a>
</div>
</div>
</div>
</header>
<section id="home" class="hero is-fullheight has-background-black">
<!-- Hero head: will stick at the top -->
<!-- Hero content: will be in the middle -->
<div class="hero-body has-background-black">
<div class="container has-text-centered has-background-black">
<div class="columns ">
<div class="column is-half is-offset-one-quarter ">
<br>
<h1 class="title indigo-text">
<strong id="hello" class="title is-2 indigo-text"></strong>
<i class="em em-pray"></i>
</h1>
<div></div>
<h3 class="subtitle is-3 has-text-justified has-text-weight-light has-text-white">
I am <span style="font-weight:600" class="indigo-text">Subrata Sarkar</span>, an computer science
graduate <i class="em em-male-technologist"></i> interested in open source <i class="em em-handshake"></i> and
Research in Artificial General Intelligence <i class="em em-robot_face"></i> .
<br>
He is an Ex-Wiproite with experience in delivering fixes for automations related to sustaining Axway SecureTransport.
<br>
At present, he is pursuing Masters in Computer Science and Engineering from NIT Durgapur.
</h3>
</div>
</div>
<div class="columns is-centered has-background-black">
<div class="column is-2">
<a class="button is-medium is-success" href="https://github.com/SubrataSarkar32/subratasarkar32.github.io/blob/master/images/SubrataSarkar_v13.pdf" target="_blank">Résumé</a>
</div>
<div class="column is-2">
<a class="button is-medium is-info" id="contactB">Contact</a>
</div>
</div>
<!--h4 class="subtitle is-4 has-text-weight-light">
<strong>P.S.</strong> I'm also a freelancer.
</h4-->
</div>
</div>
<!-- Hero footer: will stick at the bottom -->
</section>
<div class="has-background-black">
<br>
<br>
</div>
<section id="skill" class="has-background-black has-text-white">
<div class="container">
<div class="has-background-black">
<br>
<br>
</div>
<div class="columns">
<div class="column">
<h1 class="title indigo-text">
Skill
</h1>
<p>
He started his journey as a game developer in late 2016. But he reallized my games were limbos void of
any real adversarial experience that we got through games like chess. Then he started experimenting
with speech recognition and later slowly started exploring AI and meeting up with great ideas like
A* Pathfinding, Agent Behaviour Trees, and more. And That's when he met Deep Neural Networks and
passion burned in his core.
However that it is not an easy job so he tries his best to improve his skills being a Medium bookworm
and doing some course once in a while.
</p>
</div>
<div class="column is-offset-1">
<!-- For later Work -->
<!-- <div class="tabs">
<ul>
<li class="is-active"><a id="deepT">DL Engineer</a></li>
<li><a id="gameT">Game Developer</a></li>
<li><a id="filmT">Film-Making</a></li>
</ul>
</div> -->
<div id="tabContent" class="media-content">
<div class="content has-text-centered">
<h1 class="is-1">
<i class="em em-male-technologist"></i>
</h1>
<h2 class="is-2 has-text-white">Python Developer</h2>
<p>
As a Python Developer, he enjoys simplyfying and atomating boring stuff as well as designing new neural architechtures that recognizes patterns in the
data, placing special attention on better optimizations and perfect hyperparameters.
</p>
<h4 class="is-4 has-text-white">Languages I Speak:</h4>
<div class="tags is-centered"><span class="tag is-info">Python</span><span class="tag is-info">SQL</span><span class="tag is-info">Java</span><span class="tag is-info">C</span></div>
<h4 class="is-4 has-text-white">Development Tools:</h4>
<div class="tags is-centered"><span class="tag is-warning">GITHUB</span><span class="tag is-warning">Firebase</span><span class="tag is-warning">GIT</span><span class="tag is-warning">PIP</span><span class="tag is-warning">GOOGLE COLAB</span><span
class="tag is-warning">VSCODE</span></div>
<h4 class="is-4 has-text-white">Frameworks:</h4>
<div class="tags is-centered"><span class="tag is-danger">Pandas</span><span class="tag is-danger">KERAS</span><span class="tag is-danger">TENSORFLOW</span><span class="tag is-danger">NUMPY</span><span class="tag is-danger">matplotlib</span>
<span class="tag is-danger">django</span><span class="tag is-danger">flask</span><span class="tag is-danger">mySQL</span></div>
</div>
</div>
</div>
</div>
<div class="has-background-black">
<br>
<br>
</div>
</div>
</section>
<div class="has-background-black">
<br>
<br>
</div>
<div class="has-background-black">
<br>
<br>
</div>
<section id="work" class="has-background-black has-text-white">
<div class="container">
<div class="has-background-black">
<div class="columns">
<div class="column is-one-quarter">
<h2 class="title indigo-text">
Work
</h2>
<p class="indigo-text">
Here are my work experiences
</p>
</div>
<div class="column">
<div class="columns">
<div class="column has-background-grey-lighter">
<a href="#">
<div class="card has-background-grey-lighter">
<div class="card-image">
</div>
<div class="card-content">
<div class="media">
<div class="media-content">
<p class="title is-4">Research Intern, SSIR</p>
</div>
</div>
<div class="content">
<p class="has-text-black has-text-weight-light">
Received Spot Award for delivering POC of log anamoly
detection using Transformer Neural Networks which also
highlights important sections in anamoly text expected to
reduce 70% human efforts
</p>
<br>
<div class="tags is-centered"><span class="tag is-danger">PYTHON</span><span class="tag is-danger">KERAS</span><span class="tag is-danger">LLM</span><span class="tag is-danger">Transformer</span>
</div>
</div>
</div>
</a>
</div>
</div>
<div class="column has-background-grey-lighter">
<a href="#">
<div class="card has-background-grey-lighter">
<div class="card-image">
</div>
<div class="card-content">
<div class="media">
<div class="media-content">
<p class="title is-4">Project Engineer, Wipro</p>
</div>
</div>
<div class="content">
<p class="has-text-black has-text-weight-light">
Received Trail Blazers Award for delivering 10 automation
fixes on time as a team to support and maintain Managed
File Transfer system
</p>
<br>
<div class="tags is-centered"><span class="tag is-danger">PYTHON</span><span class="tag is-danger">MFT</span><span class="tag is-danger">PANDAS</span>
</div>
</div>
</div>
</div>
</a>
</div>
<div class="column has-background-grey-lighter">
<a href="#">
<div class="card has-background-grey-lighter">
<div class="card-image">
</div>
<div class="card-content">
<div class="media">
<div class="media-content">
<p class="title is-4">Research Intern, Dr. Kushal K. Shah and Dr. Rati Sharma</p>
</div>
</div>
<div class="content">
<p class="has-text-black has-text-weight-light">
Worked on Malaria detection from RBC images using shallow Convolutional Neural Networks
under guidance of Dr. Kushal K. Shah and Dr. Rati Sharma and
pre print version is available at https://arxiv.org/abs/2010.11521
</p>
<br>
<div class="tags is-centered"><span class="tag is-danger">KERAS</span><span class="tag is-danger">CNN</span><span class="tag is-danger">Tensorflow</span>
</div>
</div>
</div>
</a>
</div>
</div>
</div>
</div>
</div>
<div class="columns">
<div class="column is-one-quarter">
<h2 class="title indigo-text">
Research
</h2>
<p class="indigo-text">
Research papers contributed to:
</p>
</div>
<div class="column">
<div class="columns">
<div class="column has-background-grey-lighter">
<a href="https://doi.org/10.1007/978-3-031-45170-6_68">
<div class="card has-background-grey-lighter">
<div class="card-image">
<figure class="image is-square">
<img src="https://media.springernature.com/w92/springer-static/cover/book/978-3-031-45170-6.jpg" width="25%" height="25%" alt="Springer Nature">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content">
<p class="title is-4">Quantum Image Teleportation Based on Probabilistic Bit-Encoding Strategy</p>
</div>
</div>
<div class="content">
<p class="has-text-black has-text-weight-light">
Quantum teleportation of images has been a long-awaited and necessary operation in the domain of Quantum Information Processing. Various Quantum Image Representations have been proposed to suit the different requirements of Quantum Image processing, such as edge detection, inversion, color operation, geometric transformation, etc. To meet the Quantum Teleportation of an Image, the existing algorithm is not capable of teleporting the Quantum Image. Instead, the algorithm can only transport classical bits via quantum channels, making it a superdense coding algorithm rather than actual quantum teleportation. In this paper, we demonstrate a simulation of quantum image teleportation to overcome the challenge mentioned above. To do this, we have presented a new Quantum Image Representation technique so that Quantum Teleportation can be simulated using Quantum Simulator.
</p>
<br>
<div>
Book: International Conference on Pattern Recognition and Machine Intelligence
<br>
Publisher: Springer Nature Switzerland
<br>
Published: 04/12/2023
</div>
<div class="tags is-centered"><span class="tag is-info">Arnab Chatterjee</span><span class="tag is-info">Subrata Sarkar</span><span class="tag is-info">Ishan Dutta</span><span class="tag is-info">Suvamoy Changder</span>
</div>
</div>
</div>
</div>
</a>
</div>
<div class="column has-background-grey-lighter">
<a href="http://scientificvoyage.net/index.php/sv/article/view/27">
<div class="card has-background-grey-lighter">
<div class="card-image">
<figure class="image is-square">
<img src="http://scientificvoyage.net/public/journals/1/pageHeaderLogoImage_en_US.png" width="10%" height="10%" alt="ScientificVoyage">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content">
<p class="title is-4">Pneumonia Detection based on X-ray image classification using Convolutional Neural Network based Deep Learning Model</p>
</div>
</div>
<div class="content">
<p class="has-text-black has-text-weight-light">
Pneumonia is a disease that threat humanity to this day. Even though we have developed vaccines and medicines, many lives are still lost every year due to this disease. So we have made an effort to develop an algorithm which would be able to detect this disease in an early stage to help people with the diagnosis. We have developed a Convolutional Neural Network (CNN) based Deep Learning (DL) model that detects pneumonia from the X-ray image of patients. This helps in classifying a given image, which, in turn, helps the physicians and other medical persons for easier diagnosis. In this study we have compared the outputs from two CNN based DL models: a 3 layered model and another 10 layered model. We have taken the chest x-ray images of different patients for developing and testing the proposed algorithm in Python platform.
</p>
<br>
<div>
Journal: Scientific Voyage
<br>
Volume: 1
<br>
Issue: 4
<br>
Published: 02/03/2021
</div>
<div class="tags is-centered"><span class="tag is-info">Subrata Sarkar</span><span class="tag is-info">Alok Mukherjee</span><span class="tag is-info">Kingshuk Chatterjee</span><span class="tag is-info">Partha Haldar</span>
</div>
</div>
</div>
</div>
</a>
</div>
<div class="column has-background-grey-lighter">
<a href="https://arxiv.org/abs/2010.11521">
<div class="card has-background-grey-lighter">
<div class="card-image">
<figure class="image is-square">
<img src="https://info.arxiv.org/brand/images/brand-logo-primary.jpg" width="25%" height="25%" alt="arXiv">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content">
<p class="title is-4">Malaria detection from RBC images using shallow Convolutional Neural Networks</p>
</div>
</div>
<div class="content">
<p class="has-text-black has-text-weight-light">
The advent of Deep Learning models like VGG-16 and Resnet-50 has considerably revolutionized the field of image classification, and by using these Convolutional Neural Networks (CNN) architectures, one can get a high classification accuracy on a wide variety of image datasets. However, these Deep Learning models have a very high computational complexity and so incur a high computational cost of running these algorithms as well as make it hard to interpret the results. In this paper, we present a shallow CNN architecture which gives the same classification accuracy as the VGG-16 and Resnet-50 models for thin blood smear RBC slide images for detection of malaria, while decreasing the computational run time by an order of magnitude. This can offer a significant advantage for commercial deployment of these algorithms, especially in poorer countries in Africa and some parts of the Indian subcontinent, where the menace of malaria is quite severe.
</p>
<br>
<div>
Journal: arXiv
<br>
Preprint: arXiv:2010.11521
<br>
Published: 22/10/2020
</div>
<div class="tags is-centered"><span class="tag is-info">Subrata Sarkar</span><span class="tag is-info">Rati Sharma</span><span class="tag is-info">Kushal Shah</span>
</div>
</div>
</div>
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</a>
</div>
</div>
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<div class="columns">
<div class="column is-one-quarter">
<h2 class="title indigo-text">
Personal Projects
</h2>
<p class="indigo-text">
While pursuing my career, I work on some personal projects.
Here are a few examples of some which are completed:
</p>
</div>
<div class="column">
<div class="columns">
<div class="column has-background-grey-lighter">
<a href="https://github.com/SubrataSarkar32/cat-dog-human-classifier/blob/master/cnn-for-animals-cat-dog-human.ipynb">
<div class="card has-background-grey-lighter">
<div class="card-image">
<figure class="image is-square">
<img src="./images/dogproxy.duckduckgo.com.jpg"
alt="Dog Image">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content">
<p class="title is-4">Cat, Dog & human classifier</p>
</div>
</div>
<div class="content">
<p class="has-text-black has-text-weight-light">
We used Keras to perform deep learning by building a convolutional neural network architechture called ensmbling
model. This model provides around 80.44% accuracy which is great if we consider training data.
</p>
<br>
<div class="tags is-centered"><span class="tag is-danger">PYTHON</span><span class="tag is-danger">KERAS</span><span class="tag is-danger">OPENCV</span>
</div>
</div>
</div>
</a>
</div>
</div>
<div class="column has-background-grey-lighter">
<a href="https://github.com/SubrataSarkar32/finding-lanes">
<div class="card has-background-grey-lighter">
<div class="card-image">
<figure class="image ">
<img src="https://raw.githubusercontent.com/SubrataSarkar32/finding-lanes/master/result.jpg" width="25%" height="25%" alt="road">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content">
<p class="title is-4">Lane finding</p>
</div>
</div>
<div class="content">
<p class="has-text-black has-text-weight-light">
We opencv along with image processing techniques like Gaussian Blur , Canny edge detection and hough transform
so as to find out the lane in the image. This can also be applied on videos to find lanes but be careful this is basic:p.
</p>
<br>
<div class="tags is-centered"><span class="tag is-danger">PYTHON</span><span class="tag is-danger">OPENCV</span><span class="tag is-danger">NUMPY</span>
</div>
</div>
</div>
</div>
</a>
</div>
<div class="column has-background-grey-lighter">
<a href="https://subratasarkar32.github.io/chatpit/">
<div class="card has-background-grey-lighter">
<div class="card-image">
<figure class="image">
<img src="https://subratasarkar32.github.io/chatpit/img/app-screenshots/Phone%20Screenshot%205.jpg" width="10%" height="10%" alt="Chatpit">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content">
<p class="title is-4">Android chat app</p>
</div>
</div>
<div class="content">
<p class="has-text-black has-text-weight-light">
A simple android cat app made with the help of Firebase and its free services.
This app offers image transfer options as well as screenshot protection.
Disclaimer: NO encryption provided users need to ensure that XD
</p>
<br>
<div class="tags is-centered"><span class="tag is-danger">ANDROID</span><span class="tag is-danger">FIREBASE</span>
</div>
</div>
</div>
</a>
</div>
</div>
</div>
<div class="columns">
<div class="column">
<div class="columns">
<div class="column has-background-grey-lighter">
<a href="https://github.com/SubrataSarkar32/google-bert-multi-class-text-classifiation/blob/master/the-great-indian-data-sceintist-challenge.ipynb">
<div class="card has-background-grey-lighter">
<div class="card-image">
<figure class="image">
<img src="./images/multi-class-text-google-bert.png" alt="BERT result">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content">
<p class="title is-4">Google BERT multi class text classification</p>
</div>
</div>
<div class="content">
<p class="has-text-black has-text-weight-light">
We used Google BERT uncased model with Tensorflow to predict product category from product description.
This model provides around 92.48% accuracy on validation dataset which is great if we consider training data.
</p>
<br>
<div class="tags is-centered"><span class="tag is-danger">PYTHON</span><span class="tag is-danger">TENSORFLOW</span><span class="tag is-danger">google-BERT</span>
</div>
</div>
</div>
</a>
</div>
</div>
<div class="column has-background-grey-lighter">
<a href="./pneutakecare.html">
<div class="card has-background-grey-lighter">
<div class="card-image">
<figure class="image ">
<img src="https://subrata32.pythonanywhere.com/static/xrayimgs/pneumoniatestimg.png" alt="x-ray image">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content">
<p class="title is-4">Pneutakecare</p>
</div>
</div>
<div class="content">
<p class="has-text-black has-text-weight-light">
A machine learning model that uses CNN to classify pneumonia, tuberculosis and normal chest x-ray images.
We have python desktop app, an android app and a flask webapp. Achieved 89.9% accuracy on validation dataset.
</p>
<br>
<div class="tags is-centered"><span class="tag is-danger">PYTHON</span><span class="tag is-danger">KERAS</span><span class="tag is-danger">ANDROID</span>
</div>
</div>
</div>
</div>
</a>
</div>
<div class="column has-background-grey-lighter">
<a href="https://result.gcect.co.in">
<div class="card has-background-grey-lighter">
<div class="card-image">
<figure class="image">
<img src="https://result.gcect.co.in/static/img/side_logo.png" alt="openresult">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content">
<p class="title is-4">OpenResult</p>
</div>
</div>
<div class="content">
<p class="has-text-black has-text-weight-light">
Web application based Result Management System for Government College of Engineering and Ceramic Technology with team
which is available at https://result.gcect.co.in
</p>
<br>
<div class="tags is-centered"><span class="tag is-danger">PYTHON</span><span class="tag is-danger">Flask</span><span class="tag is-danger">mySQL</span>
</div>
</div>
</div>
</a>
</div>
</div>
</div>
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<div class="column">
<div class="columns">
<div class="column has-background-grey-lighter">
<a href="https://pagamesssddr.com/">
<div class="card has-background-grey-lighter">
<div class="card-image">
<figure class="image">
<img src="https://pagamesssddr.com/static/img/pagameslogo.jpg" alt="pagames">
</figure>
</div>
<div class="card-content">
<div class="media">
<div class="media-content">
<p class="title is-4">PA Games SSDDR</p>
</div>
</div>
<div class="content">
<p class="has-text-black has-text-weight-light">
Web application providing software and services solutions. Starting from text editor with onscreen keyboard to music player.
Available at https://pagamesssddr.com/
</p>
<br>
<div class="tags is-centered"><span class="tag is-danger">PYTHON</span><span class="tag is-danger">Flask</span><span class="tag is-danger">tkinter</span>
</div>
</div>
</div>
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</a>
</div>
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<h2 class="subtitle is-5 has-text-centered has-text-white">
Hi!! I am Subrata, a <span class="indigo-text" id="age"></span> year old. I was always curiously interested in technology.<i class="em em-computer"></i>
I still remember when I was a kid and my relatives<i class="em em-man-man-girl-boy"></i> used to ask me what
I wanna do for the living which I used to answer "study computers"<i class="em em-male-technologist"></i>. But, I’m not all screens and keyboards.
I love storytelling, philosophy <i class="em em-thinking_face"></i>
and art and crafts <i class="em em-performing_arts"></i>.
In 2016 python came in my life and it changed everything.It gave me wings and I started my journey into Computer Science.
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<p class="content is-medium has-text-justified">
Need anything built, want to work together or simply want to have a chat? Drop me an e-mail at
<span class="btn btn-link has-text-info ">
<a href="mailto:subrotosarkar32@gmail.com " target="_blank" class="highlight-link">subrotosarkar32@gmail.com</a>
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