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<!doctype html>
<html lang="en" class="no-js">
<head>
<meta charset="utf-8">
<meta http-equiv="content-type" content="text/html;charset=utf-8" />
<meta property="og:locale" content="en-US">
<meta property="og:site_name" content="Abhinav's Webpage">
<meta property="og:title" content="Abhinav Bohra Experience">
<meta property="og:description" content="Abhinav Bohra Experience">
<meta property="og:url" content="https://abhinav-bohra.github.io/experience.html">
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<meta name="description" content="Abhinav Bohra - Computer Science & Engineering, IIT Kharagpur, Work Experience - Internships">
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<meta name="author" content="Abhinav Bohra">
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<title>Abhinav Bohra | Experience</title>
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"description": "Abhinav Bohra possesses an impressive range of work experiences across renowned companies. As an Applied Scientist Intern at Amazon, his contributions were instrumental in developing ML and DL algorithms to detect advanced robotic behaviors, safeguarding Amazon advertisers from fraud, and generating substantial revenue. During his time as a Research Intern at IBM Research AI, he conducted statistical analysis to improve predictive process models. At Adobe Inc., as a Research Intern in the Big Data Experience Lab, Abhinav created a machine learning-based framework for automated document generation from procedural videos, making multimedia more accessible. His work resulted in a publication at ACM IUI and a US Patent. His tenure as a Software Development Intern at Philips India Ltd. involved developing an ML-based software to predict software vulnerabilities and optimizing the testing process. Finally, his research internship at the Indian Institute of Management, Ahmedabad, involved implementing an unsupervised topic modeling algorithm for extracting relevant articles from news feeds. Abhinav's diverse experiences highlight his expertise in various domains and his ability to contribute effectively to different projects and organizations.",
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<meta itemprop="headline" content="Abhinav Bohra - Work Experience me">
<meta itemprop="description" content="Abhinav Bohra has garnered a wealth of work experience across prestigious companies including Amazon, IBM Research AI, Adobe Inc., Philips India Ltd., and the Indian Institute of Management, Ahmedabad, demonstrating his versatility and expertise in applied science, artificial intelligence, software development, and more.">
<h2 style="font-size: x-large;"><b>Internship Experience</b></h2>
<div class="list__item" style="margin-top: 2%;">
<div class="card">
<div class="card-content">
<div class="media">
<div class="media-left">
<figure class="image is-48x48">
<img src="images/experiences/amazon.jpg" alt="Amazon">
</figure>
</div>
<div class="media-content">
<p class="title is-4">Amazon</p>
<p class="subtitle is-6">Applied Scientist Intern, Advertising Technology, Bangalore |
<time datetime="2022-1">Jan 2022</time> - <time datetime="2022-7"> Jul 2022</time>
</p>
</div>
</div>
<div class="content">
<p>Traffic Quality for Sponsered Ads</p>
<ul>
<li>Building ML & DL algorithms for detecting advanced robotic behaviors to safeguard Amazon advertisers in an ever-evolving fraud landscape</li>
<li>Developed DNN based crawler bot detection model with 11.9% improved robotic coverage and 4.9% higher Impression IVR</li>
</ul>
<div class="tags">
<span class="tag">Python</span>
<span class="tag">Spark</span>
<span class="tag">PySpark</span>
<span class="tag">Tensorflow</span>
</div>
</div>
</div>
</div>
</div>
<div class="list__item" style="margin-top: 2%">
<div class="card">
<div class="card-content">
<div class="media">
<div class="media-left">
<figure class="image is-48x48">
<img src="images/experiences/ibm.png" alt="IBM">
</figure>
</div>
<div class="media-content">
<p class="title is-4">IBM Research AI</p>
<p class="subtitle is-6">Research Intern, IBM AI for Business Process Automation, Bangalore |
<time datetime="2021-12">Dec 2021</time> - <time datetime="2022-2">May 2022</time>
</p>
</div>
</div>
<div class="content">
<p>Assessing the Impact of Event Log Quality on Predictive Process Monitoring</p>
<ul>
<li>Carried out statistical analysis of data quality issues as a collection of patterns to improve performance of predictive process models</li>
</ul>
<div class="tags">
<span class="tag">Python</span>
<span class="tag">PyTorch</span>
<span class="tag">R</span>
<span class="tag">PM4PY</span>
<span class="tag">Time Series</span>
</div>
</div>
</div>
</div>
</div>
<div class="list__item" style="margin-top: 2%;">
<div class="card">
<div class="card-content">
<div class="media">
<div class="media-left">
<figure class="image is-48x48">
<img src="images/experiences/adobe.png" alt="Adobe">
</figure>
</div>
<div class="media-content">
<p class="title is-4">Adobe Inc.</p>
<p class="subtitle is-6">Research Intern, Big Data Experience Lab, Bangalore |
<time datetime="2021-5">May 2021</time> - <time datetime="2021-8">Aug 2021</time>
</p>
</div>
</div>
<div class="content">
<p>Videos2Doc: Generating Documents from a Collection of Procedural Videos</p>
<ul>
<li>Developed a machine learning-based framework for automated document generation from a collection of procedural videos</li>
<li>Eased the task of making multimedia accessible through automation in conversion to alternate presentation modes</li>
<li>Established the utility of this work as well as the superiority over the current benchmarks via empirical and qualitative evaluations </li>
<li>Published in 27th Annual Conference on Intelligent User Interfaces - <a href="https://dl.acm.org/doi/abs/10.1145/3490100.3516460" style="color:#52adc8"><strong>ACM IUI 2022</strong></a></li>
</ul>
<div class="tags">
<span class="tag">Python</span>
<span class="tag">PyTorch</span>
<span class="tag">OpenCV</span>
<span class="tag">Transfomers</span>
</div>
</div>
</div>
</div>
</div>
<div class="list__item" style="margin-top: 2%">
<div class="card">
<div class="card-content">
<div class="media">
<div class="media-left">
<figure class="image is-48x48">
<img src="images/experiences/philips.png" alt="Philips">
</figure>
</div>
<div class="media-content">
<p class="title is-4">Philips India Ltd.</p>
<p class="subtitle is-6">Software Development Intern, Philips Innovation Campus, Bangalore |
<time datetime="2020-4">Apr 2020</time> - <time datetime="2020-6">Jun 2020</time>
</p>
</div>
</div>
<div class="content">
<p>Application of AI in prediction of Software Vulnerabilities</p>
<ul>
<li> Designed, developed & deployed ML-based software to predict software vulnerabilities for optimizing software testing process</li>
<li>Fine-tuned various models like Support Vector Machines, Multinomial Naïve Bayes Classifier using Sci-kit Learn and Dense Neural Networks (LSTMs) using Keras to compare performance in multiclass classification task with 30+ categories</li>
<li>Developed user interface for the toolkit using HTML5, CSS & JavaScript, and integrated it with backend using Eel</li>
</ul>
<div class="tags">
<span class="tag">Python</span>
<span class="tag">Python-Eel</span>
<span class="tag">Keras</span>
<span class="tag">NLTK</span>
<span class="tag">Pandas</span>
<span class="tag">Scikit-Learn</span>
</div>
</div>
</div>
</div>
</div>
<div class="list__item" style="margin-top: 2%">
<div class="card">
<div class="card-content">
<div class="media">
<div class="media-left">
<figure class="image is-48x48">
<img src="images/experiences/iima.jpg" alt="IIMA">
</figure>
</div>
<div class="media-content">
<p class="title is-4">Indian Institiue of Management, Ahmedabad</p>
<p class="subtitle is-6">Research Intern, Department of Production and Quantitative Methods |
<time datetime="2019-5">May 2019</time> - <time datetime="2019-7">Jul 2019</time>
</p>
</div>
</div>
<div class="content">
<p>Application of Machine Learning in Finance</p>
<ul>
<li>Implemented an unsupervised, graph-based topic modeling algorithm to extract topic-specific articles from the news feed</li>
<li>Successfully extracted 1,000+ articles from the CNN DailyMail dataset</li>
</ul>
<div class="tags">
<span class="tag">Python</span>
<span class="tag">Numpy</span>
<span class="tag">NLTK</span>
<span class="tag">Pandas</span>
<span class="tag">Networkz</span>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div id="footer"></div>
</body>
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