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<!DOCTYPE html>
<html>
<head>
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-BL44L654N5"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-BL44L654N5');
</script>
<link rel='stylesheet' href='style/devicons.css'>
<link rel='stylesheet' href='style/style.css'>
<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Alegreya Sans">
<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Newsreader">
<title>Sterling Suggs resume</title>
</head>
<body>
<nav class="navbar">
<!-- <div class="menu"> -->
<a href="index.html" id=home-button>Sterling Suggs</a>
<a href="projects.html" >ML projects</a>
<a href="musicmain.html">Music</a>
<a href="resume.html" id="current-page">Resume</a>
<!-- </div> -->
</nav>
<div class='main'>
<h3 class='title'>Resume</h3>
<div style='text-align: center;;'><samp> sterlingwsuggs at gmail dot com </samp></div>
<div class='flex'>
<a class='button' style='width:8em;' href='ml/sterling_suggs_resume.pdf' target="_blank">PDF version</a>
<a class='button' style='width:8em;' href='https://www.linkedin.com/in/swsuggs' target="_blank"> LinkedIn </a>
</div>
<div class='res-section'>
<h3 class='res-sec-title'>Experience</h3>
<div class='res-item'>
<div class=res-item-head>Lead Machine Learning Research Scientist</div>
<div class='res-item-date'>July 2021 – present</div>
<!-- <div class=res-item-head>Senior Machine Learning Research Scientist</div>
<div class='res-item-date'>Jan 2023 – Dec 2023</div>
<div class=res-item-head>Machine Learning Research Scientist</div>
<div class='res-item-date'>July 2021 – Dec 2022</div> -->
<div class='res-item-detail'><a href="https://twosixtech.com/" target="_blank">Two Six Technologies</a></div>
<ul class=res-list>
<li>Developed and maintained <a href='https://github.com/twosixlabs/armory' target='_blank'>Armory</a>, an open source framework for evaluating ML defenses against adversarial attacks. Crafted and integrated new models, datasets, metrics, attacks, defenses, visualizations, and other tools</li>
<li>Orchestrated large-scale ML robustness evaluations across multiple industry and government partners, architecting virtual and physical evasion and poisoning attacks to stress-test the resilience of state-of-the-art vision and detection models against out-of-distribution and adversarial data</li>
<li>Researched, prototyped, and demonstrated AI-enabled product features including smart data annotation, keypoint pose estimation, fuzzy query matching, and 3D differentiable rendering, bridging the gap between theoretical vulnerabilities and deployable solutions</li>
<li>Drove business development through technical writing for proposals, RFIs, white papers, demos and presentations for key customers and stakeholders</li>
</ul>
</div>
<div class='res-item'>
<div class=res-item-head>Research Assistant</div>
<div class='res-item-date'>Sept 2017 – June 2021</div>
<div class='res-item-detail'><a href="https://science.byu.edu/computer-science" target="_blank">BYU Computer Science Dept.</a></div>
<ul class=res-list>
<li>Researched and implemented methods for distributional shift adaptation in reinforcement learning, to enable agents to maintain performance across diverse domains and accelerate convergence beyond standard gradient methods</li>
<li>Engineered attention-based memory mechanisms for reinforcement learning to improve how agents represent and learn from sparse data</li>
<li>Optimized memory efficiency, achieving 16x increase in memory throughput for fast information retrieval</li>
</ul>
</div>
<div class='res-item'>
<div class=res-item-head> Software Engineer</div>
<div class='res-item-date'>April 2016 – April 2017</div>
<div class='res-item-detail'>
<a href='https://spa.com/news-insights/spa-acquires-veracity-forecasting-and-analysis-2/' target="_blank">
Veracity Forecasting and Analysis</a>
</div>
<ul class='res-list'>
<li>Developed physics-based predictive models to simulate complex material degradation, utilizing scientific computing to improve failure probability accuracy</li>
<li>Modeled and simulated recruitment and inventory transition schedules in order to identify bottlenecks and potential optimization points</li>
<li>Automated data collection for human resource planning, saving hours of weekly manual effort</li>
</ul>
</div>
<div class='res-item'>
<div class=res-item-head> Developer</div>
<div class='res-item-date'>Oct 2015 – April 2016</div>
<div class='res-item-detail'><a href="https://science.byu.edu/mathematics" target="_blank">BYU Mathematics Dept.</a></div>
<ul class='res-list'>
<li>Drafted and refined new scientific computing and data science programming labs for university curriculum
<li>Wrote new course material to teach math majors Python programming</li>
</ul>
</div>
</div>
<div class='res-section'>
<h3 class='res-sec-title'>Education</h3>
<div class='res-item'>
<h2>M.S. Computer Science—AI/ML</h2>
<div class='res-content'>
<div class=res-item-head> <a href="https://www.byu.edu/" target="_blank">Brigham Young University</a></div>
<div class='res-item-date'>June 2021</div>
<div class='res-item-detail'>Thesis: <a href='https://scholarsarchive.byu.edu/etd/9028/' target="_blank">Reinforcement Learning with Auxiliary Memory</a></div>
<div class='res-item-detail'>GPA 3.93/4.0</div>
</div>
</div>
<div class='res-item'>
<h2>B.S. Applied Mathematics</h2>
<div class='res-content'>
<div class=res-item-head> <a href="https://www.byu.edu/" target="_blank">Brigham Young University</a></div>
<div class='res-item-date'>April 2017</div>
<div class='res-item-detail'>Computer Science minor</div>
<div class='res-item-detail'>GPA 3.91/4.0</div>
</div>
</div>
</div>
<div class="res-section">
<h3 class="res-sec-title">Skills</h3>
<ul class="res-list">
<li>Deep Neural Networks, Computer Vision, Natural Language Processing</li>
<li>Reinforcement Learning, Bayesian Statistics, Artificial Intelligence</li>
<li>Adversarial ML, AI Safety, Multi-agent Systems, Algorithm Design and Optimization</li>
<li>Control Theory, ODE/PDEs, Mathematical Analysis, Mathematical Modeling</li>
</ul>
</div>
<div class='res-section'>
<h3 class='res-sec-title'>Tools</h3>
<div class='res-item'>
<!-- <div class=res-item-head> Languages and Tools</div> -->
<ul class="list-inline list-icons">
<li class="skill"><span class="devicons devicons-python" title="Python"></span></li>
<li class='skill'><span class='devicons devicons-java' title='Java'></span></li>
<li class='skill'><span class='devicons devicons-docker' title='Docker'></span></li>
<li class='skill'><span class='devicons devicons-git' title='Git'></span></li>
<li class='skill'><span class='devicons devicons-linux' title='Linux'></span></li>
<li class='skill'><span class='devicons devicons-terminal' title='Terminal'></span></li>
<li class='skill'><span class='devicons devicons-sqllite' title='SQLite'></span></li>
<li class='skill'><span class='devicons devicons-html5' title='HTML5'></span></li>
<li class='skill'><span class='devicons devicons-android' title='Android'></span></li>
<li class='skill'><span class='devicons devicons-mongodb' title='MongoDB'></span></li>
<li class='skill'><span class='devicons devicons-aws' title='AWS'></span></li>
<li class="skill"><span class='devicons devicons-github' title="Github"></span></li>
<li class='skill'><span class='devicons devicons-vim' title='Vim'></span></li>
</ul>
<ul class='res-list'>
<li>Python, C++, Java</li>
<li>Pytorch, Tensorflow, Scikit-learn, Scipy, Pandas</li>
<li>Docker, Slurm, AWS, Jenkins</li>
<li>Git/Mercurial, Unix shell, Bash</li>
</ul>
</div>
</div>
<div style='height:100px;'></div>
</div>
</body>
</html>