Sam Packer

Machine learning, software, and data engineering.
M.Eng. in Artificial Intelligence at Duke University.

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Experience

May 2026 - Present

Full-Stack Software Engineering Intern

Unlimited.ai

  • Built the company's data platform end to end as a Databricks lakehouse, and migrated the production database to Databricks Lakebase.
  • Made the Next.js application significantly faster, from eliminating redundant queries to a speculative precomputation layer that prepares results before users ask for them.

December 2025 - Present

Chief Technology Officer

Guided

  • Leads development of Guided's learning platform, a .NET Blazor Server application on Azure, writing the large majority of the codebase across the application, data, and infrastructure layers.
  • Built the company's data lakehouse and streaming pipeline, plus a Python machine learning service powering personalized career and college recommendations.

October 2025 - Present

Research Fellow

Duke Applied AI Cyber Lab

  • Researching machine learning techniques for network traffic classification, detecting encrypted VPN traffic that evades institutional web filters.

February 2024 - April 2026

Process Optimization Developer

Education Credit Union

  • Designed a distributed reporting system using C#, MongoDB, and SvelteKit, and built automation and analytics tooling that modernized internal operations.

Projects

Blog

Notes on machine learning, infrastructure, and building things that hold up.

About Me

Sam Packer at Duke Chapel

Sam Packer

M.Eng. in Artificial Intelligence at Duke University

Hi! I'm Sam. I'm an engineer at Duke pursuing an M.Eng. in Artificial Intelligence. I've been writing software since 2013, when I started as a kid with Minecraft plugins, websites for nonprofits, and Arduino projects, and these days most of my work is data and machine learning systems.

My past technical experiences include a distributed reporting system for a credit union, risk-based authentication for Shibboleth, and a reinforcement learning agent that recovers a Boeing 737 from a stall. I was previously a Teaching Assistant for AI Entrepreneurship at Duke's Fuqua School of Business. Right now I'm a Software Engineering Intern at Unlimited.ai, where the work is mostly Databricks, data pipelines, and large system design. I'm also the Chief Technology Officer at Guided, an ed-tech startup, and a Research Fellow in the Duke Applied AI Cyber Lab, where I build models that detect encrypted VPN traffic slipping past institutional web filters. I'm broadly interested in machine learning systems, data engineering, authentication, and infrastructure.

Outside of work and school, I try to spend my free time away from screens. I like being out in nature and going on hikes, and I take a lot of photos of the places I travel to, along with more of Duke Gardens and campus than I can count. I also collect vinyl, and I take my listening setup more seriously than I probably should. And yes, this website runs on servers I manage myself.

Education

2025 - Present

M.Eng. in Artificial Intelligence

Duke University

GPA 3.96 / 4.00

2021 - 2025

B.B.A. in Computer Information Systems

West Texas A&M University

GPA 3.94 / 4.00, with Beta Gamma Sigma, Upsilon Pi Epsilon, and the 2025 Carey Lyles Emerging Technology Award

Contact

I'm always happy to talk about machine learning systems, data engineering, or something you're building. Send me a message and I'll get back to you shortly.

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