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index.html
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<!DOCTYPE HTML>
<html>
<head>
<!-- Google Analytics Tag (gtag.js) -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-STGLQW4BJX"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-STGLQW4BJX');
</script>
<!-- Title -->
<title>Habib Boloorchi</title>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<!-- Isotope JS -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.6.1/jquery.min.js"></script>
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<!-- Custom Style -->
<link rel="stylesheet" href="style.css">
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<style>
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}
.company-name {
font-weight: bold;
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</style>
</head>
<body id="body">
<div id="main">
<div id="intro">
<div id="intro-text">
<h1>Habib Boloorchi</h1>
<p>
I'm a Ph.D. candidate in Computer Science at Oklahoma State University. I am a researcher and machine learning expert focused on deep learning model architecture for industry and academia, specializing in computer vision, large language models, robotics, and IoT, with machine learning and data science expertise.
<div id="more-bio" style="display: none;">
<br>
<p>Habib Boloorchi is a Ph.D. candidate in Computer Science at Oklahoma State University with a strong focus on machine learning, computer vision, and large language models. He has extensive experience designing and developing advanced machine learning models, including explainable deep learning models and visual odometry systems. Habib has worked on projects that span across various domains, from healthcare AI to robotics, utilizing his expertise in deep learning, graph neural networks, and visual-inertial odometry.
His industry experience includes positions as a Machine Learning Engineer at ILead Laboratory, where he developed an explainable deep model for chart interpretation with high precision, and at Sanborn, where he improved depth estimation techniques and optimized deep learning models for high-resolution imagery. Habib has also worked at PricewaterhouseCoopers (PwC), General Electric, and other organizations, contributing to diverse projects involving data visualization, machine vision, and mobile applications.
Throughout his career, Habib has demonstrated an aptitude for interdisciplinary teamwork and a passion for creating impactful, real-world AI solutions. His skill set includes expertise in PyTorch, TensorFlow, Keras, and numerous programming languages such as Python, C++, Java, and Dart. His contributions to academia are reflected in his multiple publications in international conferences and his role as a research and teaching associate at OSU, where he has been involved in the fields of explainable AI, computer vision, and health data science.
Habib's work has earned him numerous accolades, including scholarships for entrepreneurship and innovation, as well as top placements in business plan and technical competitions. He is a three-time finalist in the Spears School of Business plan competition and has been recognized for his innovative approaches in both AI and robotics.</p>
</div>
<br>
<a href="javascript:toggle_bio()">Formal Bio</a>
<a href="https://github.com/habib-Boloorchi">GitHub</a>
<a href="https://scholar.google.com/citations?user=0oXdUkAAAAAJ&hl=en">Google Scholar</a>
<a href="https://www.linkedin.com/in/habib-boloorchi">LinkedIn</a>
<br><br>
hboloor at okstate dot edu
<br><br>
</p>
</div>
<div id="intro-image">
<img src="images/profile.jpg" alt="Habib Boloorchi">
</div>
</div>
<!-- Filters Section -->
<div id="filters" class="button-group">
<button class="button is-checked" data-filter=".highlight">Highlights</button>
<button class="button" data-filter=".publication">Research</button>
<button class="button" data-filter=".award">Awards & Scholarships</button>
<button class="button" data-filter=".work-experience">Work Experience</button> <!-- New Button -->
</div>
<!-- Grid Section -->
<div class="grid">
<!-- Highlights Section -->
<div class="list-item highlight description" data-category="highlight">
When a robot moves or an AI project works something in my heart falls down:
</div>
<div class="list-item highlight previews" data-category="highlight">
<video class="preview1" playsinline muted autoplay loop>
<source src="images/VIO.mp4" type="video/mp4">
</video>
<video class="preview2" playsinline muted autoplay loop>
<source src="images/Nao_Self_Calibration.mp4" type="video/mp4">
</video>
<video class="preview3" playsinline muted autoplay loop>
<source src="images/Arm_Robot.mp4" type="video/mp4">
</video>
</div>
<!-- Publications Section -->
<div class="list-item publication project-description" data-category="publication">
<h3><a href="https://scholar.google.com/citations?view_op=view_citation&hl=en&user=0oXdUkAAAAAJ&citation_for_view=0oXdUkAAAAAJ:9yKSN-GCB0IC">Brain-Inspired Visual Odometry: Balancing Speed and Interpretability through a System of Systems Approach</a></h3>
<p>Habib Boloorchi Tabrizi, Christopher Crick</p>
</div>
<div class="list-item publication project-description" data-category="publication">
<h3><a href="https://ieeexplore.ieee.org/abstract/document/10385640">Enhancing ProteinBERT: Integrating Intrinsically Disordered Proteins for Comprehensive Proteomic Predictions</a></h3>
<p>Jewelle D. Stone, Habib Boloorchi Tabrizi, Rittika Shamsuddin</p>
</div>
<!-- Awards Section -->
<div class="list-item award project-description" data-category="award">
<ul>
<li>
<h3>Health AI Bias Summer School and Datathon Scholarship</h3>
<p>August 2024</p>
</li>
<li>
<h3>Scholarships for I-corps Workshops (Two Ideas)</h3>
<p>June & July 2024</p>
</li>
<li>
<h3>3-time Finalist - Business Plan Competition, Spears School of Business</h3>
<p>Feb 2022, 2023, 2024</p>
</li>
<li>
<h3>Champion - International Student Art Performance Competition at OSU</h3>
<p>Nov 2022</p>
</li>
<li>
<h3>Creativity, Innovation, and Entrepreneurship Scholarship</h3>
<p>Dec 2021</p>
</li>
<li>
<h3>1st Place - Innovative Idea in Automation and Transportation Competition</h3>
<p>April 2018</p>
</li>
<li>
<h3>1st Place - Open International Robotics League (Soccer) Technical Competition</h3>
<p>April 2016</p>
</li>
<li>
<h3>Finalist - Machine Vision for Irregular Gesture Recognition Competition, AUT Cop</h3>
<p>Sept 2013</p>
</li>
</ul>
</div>
<!-- Work Experience Section -->
<div class="list-item work-experience project-description" data-category="work-experience">
<h2>Work Experience</h2>
<!-- ILead Laboratory -->
<div class="job">
<h3 class="job-title"><strong>Machine Learning Engineer</strong></h3>
<h4 class="company-name"><strong>ILead Laboratory – Stillwater, OK</strong></h4>
<span>May 2023 - May 2024</span>
<ul>
<li>Designed and developed an explainable deep model for describing visual charts with 87% precision via fine-tuned GPT-3.5, based on CNN, graph learning, and DNN, which we are submitting to the PAMI 2024 Journal.</li>
<li>Improved 7% Breast Cancer Detection Datathon in X-ray in a multidisciplinary team with 9 members.</li>
<li class="skills"><strong>Skills and Languages:</strong> PyTorch, TensorFlow, Keras, GNN, CNN, LLM, BERT, GAN, Fine-Tuning</li>
</ul>
</div>
<!-- Sanborn -->
<div class="job">
<h3 class="job-title"><strong>Deep Learning and Computer Vision Engineer</strong></h3>
<h4 class="company-name"><strong>Sanborn - Colorado Springs, CO</strong></h4>
<span>May - August 2022</span>
<ul>
<li>Implemented and trained a new depth estimation approach with a 150 GB high-quality image dataset.</li>
<li>Enhanced the CNN models to process full HD images with a 15% reduction in complexity.</li>
<li class="skills"><strong>Skills and Languages:</strong> PyTorch, Keras, Python, CNN, Photogrammetry, Image Processing, Fine-Tuning</li>
</ul>
</div>
<!-- PricewaterhouseCoopers (PwC) -->
<div class="job">
<h3 class="job-title"><strong>Machine Learning Engineer</strong></h3>
<h4 class="company-name"><strong>PricewaterhouseCoopers (PwC) - Dallas, TX</strong></h4>
<span>May - August 2020</span>
<ul>
<li>Re-engineered and tailored a data visualization tool in 20% less than estimated time with a team of 5.</li>
<li class="skills"><strong>Skills and Languages:</strong> Tableau, PySpark, Scala, AWS, Microsoft Azure, Jira, Random Forest, SAS</li>
</ul>
</div>
<!-- General Electric -->
<div class="job">
<h3 class="job-title"><strong>Machine Vision and Deep Learning Engineer</strong></h3>
<h4 class="company-name"><strong>General Electric - Oklahoma City, OK</strong></h4>
<span>May - August 2019</span>
<ul>
<li>Developed a machine vision application to analyze drill bit reliability using multi-angle imaging; deployed it as a mobile application using Flutter. The prototype was created in 20% less time than estimated. Collaborated with Google’s Flutter and Firebase teams alongside five teammates.</li>
<li>Improved the accuracy of CNN to 86% in locating compromised regions of drill bit integrity.</li>
<li class="skills"><strong>Skills and Languages:</strong> Flutter, Firebase, FireStore, NodeJS, GCP, Python, TensorFlow, Auto-ML</li>
</ul>
</div>
<!-- Advanced Technology Research Center -->
<div class="job">
<h3 class="job-title"><strong>Machine Learning Engineer</strong></h3>
<h4 class="company-name"><strong>Advanced Technology Research Center - Stillwater, OK</strong></h4>
<span>May 2018 - August 2019</span>
<ul>
<li>Enhanced and deployed Visual Inertial Odometry systems with 10% less complexity.</li>
<li>Built a Jetson robot and deployed an ML-based hand follower with 20% less prototyping estimation time.</li>
<li class="skills"><strong>Skills and Languages:</strong> Raspberry Pi, Jetson Nano, Arduino, Roller/Global Shutter Cameras, Lidar, SLAM</li>
</ul>
</div>
<!-- Mechatronic Research Lab (Nao, MRL-SPL) -->
<div class="job">
<h3 class="job-title"><strong>Machine Learning & Research Engineer</strong></h3>
<h4 class="company-name"><strong>Mechatronic Research Lab (Nao, MRL-SPL)</strong></h4>
<span>August 2015 - May 2017</span>
<ul>
<li>Implemented a vision self-calibration method and optimized computer vision libraries for humanoid robots.</li>
<li>Researched in a multidisciplinary team developing a classification system for EEG signals, enhancing BCI by 3%.</li>
<li class="skills"><strong>Skills and Languages:</strong> Proteus, OpenCV, C++, Neuroscience, Brain Anatomy, MATLAB, Machine Learning</li>
</ul>
</div>
<!-- Center for Cyber-Physical Systems -->
<div class="job">
<h3 class="job-title"><strong>Virtual Reality Developer</strong></h3>
<h4 class="company-name"><strong>Center for Cyber-Physical Systems - Stillwater, OK</strong></h4>
<span>August 2018 - December 2019</span>
<ul>
<li>Designed CAD models and conducted simulations to explore lunar habitat architectures for NASA.</li>
<li>Created an interactive VR platform focusing on the solar system to enhance learning for autistic children.</li>
<li class="skills"><strong>Skills and Languages:</strong> SolidWorks, C#, VB, Unity, Virtual Reality, GitHub</li>
</ul>
</div>
</div>
</div>
<!-- Footer Section -->
<div id="footer">
Feel free to download this website's <a href="https://github.com/andyzeng/andyzeng.github.io">template</a>, just add a link back to my website. Inspired by <a href="https://jonbarron.info/">Jon's website</a>.
</div>
</div>
<!-- Scripts -->
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function toggle_bio() {
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// Removed unused toggle_highlights function
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</body>
</html>