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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>Resume - Ryan Bieber</title>
<link rel="stylesheet" href="styles.css">
</head>
<body>
<div class="container">
<nav>
<ul>
<li><a href="index.html">Home</a></li>
<li><a href="resume.html" class="active">Resume</a></li>
<li><a href="projects.html">Projects</a></li>
<li><a href="blog.html">Blog</a></li>
</ul>
</nav>
<header>
<h1>RYAN BIEBER</h1>
<p class="subtitle">Lead Data Scientist | Agentic AI, Predictive Analytics & Decision Intelligence</p>
<div class="links">
<a href="https://linkedin.com/in/ryan-bieber" target="_blank">LinkedIn</a>
<a href="https://github.com/ryanbieber" target="_blank">GitHub</a>
</div>
</header>
<div class="content">
<section id="summary">
<h2>Summary</h2>
<p class="summary">
Lead Data Scientist with 6+ years building agentic AI systems and decision intelligence platforms.
Specialize in deploying production-scale solutions using LangGraph, RAG, and LLMs that have automated
$80B+ in business processes and freed 70+ FTEs. Track record of turning complex AI into practical tools
that drive ROI. Strong in cloud deployments (GCP, AWS), Kubernetes, and production ML systems.
</p>
</section>
<section id="experience">
<h2>Experience</h2>
<div class="job">
<div class="job-header">
<div>
<div class="company">C.H. ROBINSON</div>
<div class="location">Eden Prairie, MN</div>
</div>
</div>
<div class="position">Lead Data Scientist</div>
<div class="date">March 2025 - Present</div>
<div class="job-section">
<h4>Agentic AI & Autonomous Decision Systems</h4>
<ul>
<li>Built enterprise agentic AI platform using LangGraph/LangSmith that automatically generates pricing bids from unstructured sources (PDFs, emails, Excel files), handling $80B+ in annual freight bids. Cut turnaround time by 40 hours and freed up 20 FTEs</li>
<li>Created MCP server infrastructure that lets agent systems pull costing guidance and deliver consistent, real-time decision support to commercial reps</li>
<li>Deployed conversational analytics agents that give business users on-demand pricing intelligence and recommendations</li>
</ul>
</div>
<div class="job-section">
<h4>Production ML & Decision Intelligence</h4>
<ul>
<li>Built and deployed costing engines for all transactional and contractual freight—the backbone of our pricing strategy</li>
<li>Rewrote critical time-series library (farseer) in Rust for better performance in production forecasting pipelines</li>
<li>Developed predictive models and NLP systems for demand forecasting, route optimization, and customer behavior analysis</li>
</ul>
</div>
<div class="job-section">
<h4>Cloud Infrastructure & MLOps</h4>
<ul>
<li>Deployed and maintained AI systems in Kubernetes using Helm, troubleshot OOM errors and connection issues with k8s/k9s</li>
<li>Built AI governance frameworks around "trust but verify" to handle model overconfidence in business-critical systems</li>
<li>Set up CI/CD pipelines for model deployment, monitoring, and observability</li>
</ul>
</div>
<div style="margin-top: 1.5rem;">
<div class="position">Senior Data Scientist</div>
<div class="date">June 2022 - May 2025</div>
</div>
<div style="margin-top: 1rem;">
<div class="position">Data Scientist</div>
<div class="date">March 2021 - July 2022</div>
</div>
</div>
<div class="job">
<div class="job-header">
<div>
<div class="company">IBM</div>
<div class="location">Rochester, MN</div>
</div>
</div>
<div class="position">Data Scientist</div>
<div class="date">July 2019 - February 2021</div>
<ul>
<li>Built automation platform using webhooks that captured real-time events and automated task management across IBM Finance departments, saving 50+ FTE equivalents</li>
<li>Developed time-series forecasting package in R and mentored junior data scientists</li>
</ul>
</div>
<div class="job">
<div class="job-header">
<div>
<div class="company">MAYO CLINIC</div>
<div class="location">Rochester, MN</div>
</div>
</div>
<div class="position">Undergraduate Research Fellow</div>
<div class="date">May 2015 - August 2015</div>
<ul>
<li>Worked with imaging group on Magnetic Resonance Elastography research</li>
<li>Conducted MATLAB modeling to evaluate heart stiffness, presented findings at biomedical engineering poster session</li>
</ul>
</div>
</section>
<section id="projects">
<h2>Projects</h2>
<div class="job" style="border-bottom: none; padding-bottom: 1rem;">
<div class="position">Cigarstradamus - Lightweight NLP Recommendation Engine | Personal Project</div>
<ul>
<li>Built recommendation system using Gemma 270M and cosine similarity for personalized product matching</li>
<li>Live at cigarstradamus.com</li>
</ul>
</div>
<div class="job" style="border-bottom: none; padding-bottom: 1rem;">
<div class="position">Farseer - High-Performance Time-Series Library | Open Source</div>
<ul>
<li>Rewrote Facebook Prophet in Rust for better performance in production forecasting</li>
<li>Running in production for mission-critical decision systems</li>
<li>Available at ryanbieber.github.io/farseer</li>
</ul>
</div>
</section>
<section id="skills">
<h2>Skills</h2>
<div class="skills-grid">
<div class="skill-category">
<h3>Agentic AI & LLMs:</h3>
<p>LangGraph, LangSmith, LangChain, RAG, MCP Servers, Multi-agent systems, Conversational AI</p>
</div>
<div class="skill-category">
<h3>Programming & Data:</h3>
<p>Python, SQL, R, Rust, Statistical modeling, Time-series analysis</p>
</div>
<div class="skill-category">
<h3>ML/AI:</h3>
<p>NLP, Predictive analytics, Causal inference, Reinforcement learning, Generative AI</p>
</div>
<div class="skill-category">
<h3>Cloud & Infrastructure:</h3>
<p>GCP, AWS, Azure, Kubernetes (k8s/k9s), Helm, Docker, MLOps</p>
</div>
<div class="skill-category">
<h3>Data Platforms:</h3>
<p>Snowflake, Modern data warehouses, Analytics engineering</p>
</div>
<div class="skill-category">
<h3>AI Governance:</h3>
<p>Model validation, AI observability, Responsible AI deployment</p>
</div>
</div>
</section>
<section id="education">
<h2>Education</h2>
<div class="education-item">
<div class="degree">Master of Science in Applied Economics | GPA: 4.0</div>
<div class="school">University of North Dakota | 2017-2019</div>
</div>
<div class="education-item">
<div class="degree">Bachelor of Arts in Economics | GPA: 3.65</div>
<div class="school">University of North Dakota | 2014-2017</div>
</div>
</section>
</div>
<footer>
<p>© 2025 Ryan Bieber. Built with passion for AI and data science.</p>
</footer>
</div>
</body>
</html>