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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>Mingzhe Hu - Personal Profile Preview</title>
<style>
:root {
--sofi-blue: #00d4ff;
--sofi-dark-blue: #003366;
--sofi-green: #00b347;
--text-primary: #2c3e50;
--text-secondary: #555;
--background-light: #f8f9fa;
--shadow-light: 0 2px 10px rgba(0,0,0,0.1);
--shadow-medium: 0 4px 20px rgba(0,0,0,0.15);
}
body {
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
line-height: 1.6;
color: var(--text-primary);
max-width: 1200px;
margin: 0 auto;
padding: 1rem;
background: linear-gradient(135deg, #ffffff 0%, #f8f9fa 100%);
min-height: 100vh;
}
/* Header with SoFi branding */
.profile-header {
background: linear-gradient(135deg, var(--sofi-dark-blue) 0%, var(--sofi-blue) 100%);
color: white;
padding: 3rem 2rem;
border-radius: 20px;
margin-bottom: 2rem;
box-shadow: var(--shadow-medium);
position: relative;
overflow: hidden;
}
.profile-header::before {
content: '';
position: absolute;
top: -50%;
right: -50%;
width: 200%;
height: 200%;
background: radial-gradient(circle, rgba(255,255,255,0.1) 0%, transparent 70%);
animation: float 6s ease-in-out infinite;
}
@keyframes float {
0%, 100% { transform: translateY(0px) rotate(0deg); }
50% { transform: translateY(-20px) rotate(180deg); }
}
.header-content {
position: relative;
z-index: 2;
display: flex;
align-items: center;
gap: 2rem;
flex-wrap: wrap;
}
.profile-image {
width: 150px;
height: 150px;
border-radius: 50%;
border: 4px solid rgba(255,255,255,0.3);
box-shadow: var(--shadow-medium);
object-fit: cover;
}
.header-text h1 {
margin: 0 0 0.5rem 0;
font-size: 2.5rem;
font-weight: 700;
}
.header-text h2 {
margin: 0 0 1rem 0;
font-size: 1.3rem;
font-weight: 400;
opacity: 0.9;
}
.company-logos {
display: flex;
align-items: center;
gap: 1rem;
margin-top: 1rem;
}
.company-logos img {
height: 40px;
filter: brightness(0) invert(1);
opacity: 0.8;
transition: all 0.3s ease;
}
.company-logos img[alt="NVIDIA"] {
height: 65px;
}
.company-logos img:hover {
opacity: 1;
transform: scale(1.1);
}
/* Content sections */
.content-section {
background: white;
padding: 2rem;
margin: 2rem 0;
border-radius: 15px;
box-shadow: var(--shadow-light);
border-left: 4px solid var(--sofi-blue);
transition: transform 0.3s ease, box-shadow 0.3s ease;
}
.content-section:hover {
transform: translateY(-5px);
box-shadow: var(--shadow-medium);
}
.content-section h2 {
color: var(--sofi-dark-blue);
margin-bottom: 1.5rem;
font-size: 1.8rem;
font-weight: 600;
border-bottom: none;
}
.content-section h3 {
color: var(--sofi-blue);
margin-top: 2rem;
margin-bottom: 1rem;
font-size: 1.3rem;
font-weight: 600;
}
/* News items styling */
.news-item {
background: var(--background-light);
padding: 1rem;
margin: 0.5rem 0;
border-radius: 8px;
border-left: 3px solid var(--sofi-green);
}
/* Skills table enhancement */
table {
width: 100%;
border-collapse: collapse;
margin: 1rem 0;
background: white;
border-radius: 10px;
overflow: hidden;
box-shadow: var(--shadow-light);
}
th {
background: linear-gradient(135deg, var(--sofi-blue), var(--sofi-dark-blue));
color: white;
padding: 1rem;
font-weight: 600;
text-align: left;
border: none;
}
td {
padding: 1rem;
border-bottom: 1px solid #eee;
border-left: none;
border-right: none;
}
tr:hover {
background: var(--background-light);
}
/* University logos */
.university-logos {
text-align: center;
margin: 40px 0;
display: flex;
justify-content: center;
gap: 2rem;
flex-wrap: wrap;
}
.university-logos img {
width: 120px;
height: 90px;
object-fit: contain;
padding: 15px;
background: white;
border-radius: 15px;
box-shadow: var(--shadow-light);
transition: all 0.3s ease;
}
.university-logos img:hover {
transform: translateY(-10px) scale(1.05);
box-shadow: var(--shadow-medium);
}
/* Contact section */
.contact-links {
display: flex;
gap: 1rem;
flex-wrap: wrap;
justify-content: center;
margin: 2rem 0;
}
.contact-link {
display: inline-block;
padding: 0.8rem 1.5rem;
background: linear-gradient(135deg, var(--sofi-blue), var(--sofi-green));
color: white;
text-decoration: none;
border-radius: 25px;
font-weight: 600;
transition: all 0.3s ease;
box-shadow: var(--shadow-light);
}
.contact-link:hover {
transform: translateY(-3px);
box-shadow: var(--shadow-medium);
text-decoration: none;
color: white;
}
.contact-section {
background: white;
padding: 2rem;
border-radius: 15px;
box-shadow: var(--shadow-light);
border-left: 4px solid var(--sofi-blue);
}
a {
color: var(--sofi-blue);
text-decoration: none;
font-weight: 500;
}
a:hover {
text-decoration: underline;
}
.highlight {
background: linear-gradient(135deg, var(--sofi-blue), var(--sofi-green));
color: white;
padding: 4px 8px;
border-radius: 5px;
font-weight: 600;
}
ul {
padding-left: 20px;
}
li {
margin: 8px 0;
}
hr {
display: none;
}
/* Responsive design */
@media (max-width: 768px) {
body {
padding: 0.5rem;
}
.profile-header {
padding: 2rem 1rem;
}
.header-content {
flex-direction: column;
text-align: center;
}
.profile-image {
width: 120px;
height: 120px;
}
.header-text h1 {
font-size: 2rem;
}
.content-section {
padding: 1.5rem;
}
.university-logos {
gap: 1rem;
}
.university-logos img {
width: 80px;
height: 60px;
}
}
</style>
</head>
<body>
<div class="profile-header">
<div class="header-content">
<img src="images/humingzhe.jpg" class="profile-image" alt="Mingzhe Hu"/>
<div class="header-text">
<h1>Mingzhe Hu</h1>
<h2>Software Engineer at SoFi | AI/ML Experience at NVIDIA & Columbia</h2>
<div class="company-logos">
<img src="images/SoFi_logo.svg.png" alt="SoFi" title="Current: SoFi"/>
<img src="images/NVIDIA-logo.png" alt="NVIDIA" title="Previous: NVIDIA"/>
<img src="images/Columbia_Engineering_logo.png" alt="Columbia" title="Education: Columbia"/>
</div>
</div>
</div>
</div>
<div class="content-section">
<h2>About Me</h2>
<img src="images/timeline.png" alt="Timeline" style="margin: 20px 0; border-radius: 10px; box-shadow: 0 4px 15px rgba(0,0,0,0.1);"/>
<p><img src="images/location_icon.jpg" width="30px" style="vertical-align: middle; margin-right: 8px;"/> <strong>Hello from New York City & Salt Lake City!</strong></p>
<p>I started my overseas study in 2019 at the international summer school at PolyU @ HK, where I took elementary courses on artificial intelligence, and got a chance to play with AzureML. After that, I became an exchange student in my senior year at the department of computer science, TUM @ Germany, where I involved myself in both VLSI design and deep computer vision lab.</p>
<p>During my master's study at Columbia, I joined the Kostic lab for a while with Prof. Zoran Kostic, on smart intersection topics, primarily focusing on unsupervised person and vehicle re-identification. I expanded my experience further at NVIDIA Metropolis, during the following summer break, and my work was presented by Milind Naphade, CTO of Metropolis, at the GTC summit 2022.</p>
<p><strong>Currently working as a full-time software engineer at SoFi</strong>, where I apply my expertise in AI/ML and full-stack development to build scalable financial technology solutions that help people achieve financial independence.</p>
<h3>Recent News</h3>
<div class="news-item">
<strong>2024</strong><br>
<strong>Oct. 22nd</strong>: Paper presented at ISVC 24' (Lake Tahoe, NV)
</div>
<div class="news-item">
<strong>2023</strong><br>
<strong>Jun. 20th</strong>: Joined SoFi as a full-time software engineer<br>
<strong>Feb. 26th</strong>: Won best beginner hack at Columbia ADI Devfest Hackathon
</div>
<div class="news-item">
<strong>2022</strong><br>
<strong>Aug. 29th</strong>: Completed NVIDIA internship - BoT for MTMC tracking improved IDF1 from 40% to 81%+<br>
<strong>Apr. 4th</strong>: Accepted software summer internship at NVIDIA Metropolis
</div>
</div>
<div class="content-section">
<h2>Technical Skills</h2>
<table>
<thead>
<tr>
<th>Programming Languages</th>
<th>Frameworks & Libraries</th>
<th>Data Engineering</th>
<th>Cloud & DevOps</th>
<th>AI/ML & Research</th>
</tr>
</thead>
<tbody>
<tr>
<td>Python, Java, Kotlin</td>
<td>React.js, Django, Flask</td>
<td>Kafka, Airflow, Snowflake</td>
<td>AWS, Google Cloud Platform</td>
<td>PyTorch, TensorFlow, Keras</td>
</tr>
<tr>
<td>C/C++, JavaScript</td>
<td>HTML/CSS</td>
<td>MySQL, PostgreSQL, MongoDB</td>
<td>Git, AzureML, MWAA</td>
<td>TensorRT, ONNX, OpenAI Gym</td>
</tr>
<tr>
<td>CUDA, OpenCL</td>
<td></td>
<td>SQLite</td>
<td></td>
<td>Computer Vision, NLP</td>
</tr>
<tr>
<td>Matlab, R</td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
</div>
<div class="content-section">
<h2>Professional Experience & Projects</h2>
<h3>Current Position</h3>
<div style="background: linear-gradient(135deg, #e3f2fd, #f0f8ff); padding: 1.5rem; border-radius: 10px; margin: 1rem 0; border-left: 4px solid var(--sofi-blue);">
<strong>Software Engineer</strong> - SoFi (June 2023 - Present)<br>
Full-time software engineer developing scalable financial technology solutions that help millions achieve financial independence.
</div>
<h3>Previous Experience</h3>
<p><strong>Research & Development:</strong></p>
<ul>
<li><strong>NVIDIA Metropolis</strong> (Summer 2022) - Multi-target multi-camera people tracking, improving IDF1 from 40% to 81%+</li>
<li><strong>Columbia Kostic Lab</strong> (2022) - Smart intersection research focusing on unsupervised person and vehicle re-identification</li>
<li><strong>Teaching Assistant</strong> - Columbia University (3 times) - Computer Vision and Deep Learning courses</li>
</ul>
<h3>Key Projects</h3>
<p><strong>Computer Vision & AI:</strong></p>
<ul>
<li>Real-time Self-supervised Re-identification Algorithm and BoTs</li>
<li>Real-time Single Camera Re-identification with Deep Convolutional GAN</li>
<li>Strong Reinforcement Baseline on Atari Skiing with Imitation Learning</li>
<li>Transformer Full Quantization for Text Classification</li>
</ul>
<p><strong>Full-Stack Development:</strong></p>
<ul>
<li>New York Traffic Heatmap with Google API, Tomtom Traffic and Spark Streaming</li>
<li>Full Stack Application Demo with Modern C++ and SQLite</li>
<li>NBA Award Prediction system with web scraping and big data analytics</li>
</ul>
<h3>Achievements</h3>
<ul>
<li><span class="highlight">Best Beginner Hack</span> - 2023 Columbia ADI Devfest Hackathon</li>
<li><span class="highlight">1st Place</span> - Megvii CNN Quantization Workshop</li>
<li>Published technical blog: <a href="https://medium.com/@mh4116_43123/a-milestone-in-object-detection-with-transformers-f2fd8a30cc32" target="_blank">A Milestone in Object Detection with Transformers</a> on Medium</li>
<li>Work presented at GTC Summit 2022 by NVIDIA CTO</li>
</ul>
<h3>Open Source & Presentations</h3>
<ul>
<li><a href="https://www.youtube.com/watch?v=27G7Js6jO8I">Strong Baseline for Atari Games with Reinforcement Learning</a></li>
<li><a href="https://www.youtube.com/shorts/ZIBe_ssFtm8">Manhattan Traffic Playback</a></li>
<li>GitHub: <a href="https://github.com/SuperbTUM">SuperbTUM</a></li>
</ul>
<h3>Internal Sharing & Speaking</h3>
<ul>
<li><strong>Alumni Panel Speaker</strong> - Columbia CS Department (Nov 2024)</li>
<li><strong>Internal Tech Talks</strong> - Topics include:
<ul>
<li>Kafka Snowflake consumer connector configurations introduction</li>
<li>Java to Kotlin migration</li>
<li>Modern Airflow best practices</li>
</ul>
</li>
</ul>
</div>
<div class="content-section">
<h2>Publications</h2>
<div style="background: #f8f9fa; padding: 1.5rem; border-radius: 10px; border-left: 4px solid var(--sofi-green);">
<strong>Hu, M.</strong> "VLPSR: Enhancing Zero-Shot Object ReID with Vision-Language Model". In: <em>International Symposium on Visual Computing (ISVC)</em>, Lecture Notes in Computer Science, vol 15150. Springer, Cham.
<a href="https://link.springer.com/chapter/10.1007/978-3-031-77389-1_5" target="_blank" style="color: var(--sofi-blue); font-weight: 600;">View Publication</a>
</div>
</div>
<div class="content-section">
<h2>Education & Courses</h2>
<h3>Graduate Level - Columbia University</h3>
<div style="background: linear-gradient(135deg, #f0f8ff, #e6f3ff); padding: 1.5rem; border-radius: 10px; margin: 1rem 0;">
<strong>Master of Science in Electrical Engineering</strong>
</div>
<p><strong>Recent Coursework:</strong></p>
<ul>
<li><strong>ELEN 4720</strong> - Machine Learning in Signal, Information and Data</li>
<li><strong>COMS 4995</strong> - Neural Network and Deep Learning</li>
<li><strong>EECS 4750</strong> - Heterogeneous Computing with PyCUDA and PyOpenCL</li>
<li><strong>EECS 6893</strong> - TPC in Big Data Analysis</li>
<li><strong>ELEN 6889</strong> - Large Scale Stream Processing</li>
<li><strong>EECS 6892</strong> - Reinforcement Learning in Information System</li>
<li><strong>COMS 6998</strong> - Practical Deep Learning System Performance</li>
<li><strong>COMS 4995</strong> - Design with C++ (lectured by Prof. Bjarne Stroustrup!)</li>
</ul>
<h3>Graduate Level - Technical University of Munich (TUM)</h3>
<div style="background: linear-gradient(135deg, #fff3e0, #ffe0b2); padding: 1.5rem; border-radius: 10px; margin: 1rem 0;">
<strong>Exchange Student - Computer Science</strong>
</div>
<ul>
<li>Seminar in Deep Computer Graphics</li>
<li>Deep Computer Vision Lab: Optimization of DeepSort Tracker</li>
<li>VLSI Design: Design of a MP3 player with Vivado and ModelSim</li>
</ul>
<h3>Undergraduate Level - Southeast University (SEU)</h3>
<p><strong>Core Computer Science Courses:</strong></p>
<ul>
<li>Computer Network & Architecture</li>
<li>Database Fundamentals with SQL</li>
<li>Computer Vision with Halcon</li>
<li>Signal Processing with Matlab</li>
</ul>
</div>
<div class="content-section">
<h2>Contact Information</h2>
<p style="text-align: center; font-size: 1.1rem; margin-bottom: 2rem;">
<img src="images/location_icon.jpg" width="25px" style="vertical-align: middle; margin-right: 8px;"/>
<strong>Cottonwood Heights, UT & New York City, NY</strong>
</p>
<div class="contact-links">
<a href="mailto:mingzhe.hu@columbia.edu?subject=[GitHub]%20Source%20Mingzhe%20Hu" class="contact-link">
📧 Email
</a>
<a href="https://www.linkedin.com/in/humingzhe" target="_blank" class="contact-link">
💼 LinkedIn
</a>
<a href="https://github.com/SuperbTUM" target="_blank" class="contact-link">
💻 GitHub
</a>
<a href="resume/Resume_Engineering_II.pdf" target="_blank" class="contact-link">
📄 Resume
</a>
</div>
</div>
<div class="university-logos">
<img src="images/PolyU_Logo.jpg" alt="PolyU" />
<img src="images/tum-logo.png" alt="TUM" />
<img src="images/Columbia_Engineering_logo.png" alt="Columbia Engineering" />
</div>
<footer style="text-align: center; margin-top: 50px; padding: 20px; color: #586069; border-top: 1px solid #eaecef;">
<p>Copyright © 2022 Mingzhe Hu. Distributed by an <a href="https://github.com/SuperbTUM/superbTUM.github.io/tree/main/LICENSE.txt">MIT license.</a></p>
</footer>
</body>
</html>