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.

featured work

Dreamliner

May 2026

Dreamliner

A DreamerV3 agent that recovers a Boeing 737-300 from stalls and upsets. As far as the literature shows, the first time a world-model approach has been used for stall recovery.

Sentinel

March 2026

Sentinel

A defense stock claim analyzer that scrapes tweets, filters bots, and labels claims as exaggerated, accurate, or understated by comparing them against actual price movements.

ShibBlue

November 2025

ShibBlue

A neural network-powered risk authentication system for Shibboleth IdP that learns each user's unique login behavior to detect account compromise in real-time.

HALT (High-Risk Assumption and Limitation Testing)

February 2026

HALT (High-Risk Assumption and Limitation Testing)

A behavioral benchmark that evaluates whether AI systems know when to stop answering and start asking in high-risk situations.

blog

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

November 17, 2025

We Built a Solution to Gen Z's Loneliness Crisis at a Hackathon

Two-thirds of college students feel lonely. At Duke's AI Hackathon, we built Sync AI to change that.

November 4, 2025

Building Risk-Based Authentication for Shibboleth in Two Weeks

You log into Canvas, your email, and your university portal every day without thinking twice. But the security protecting those logins? It's nowhere near as sophisticated as it should be. So my team and I decided to modernize it.

October 1, 2025

Tracing the Currents: From Flows to Data Centers

A data storytelling project exploring whether America's growing network of data centers is truly straining the power grid, or if the story in the numbers points to something more complex.

May 24, 2025

How I Load Balanced My Portfolio, Applications, and Databases

I self-host my applications. The biggest downside? Downtime during updates and reboots. Here's how I load balanced my entire stack to keep things running, even when a server goes down.

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 enjoy messing with EQs and audio mixes, mostly for my own ears. 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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