Henry Vu is a machine learning engineer at eXRealityAI in Dallas and an M.Sc. student in Computer Science at the University of Texas at Dallas, expected Summer 2027. He also works as a computer vision engineer at ThorMed Innovation on NIH-funded medical imaging, and graduated summa cum laude from the University of Alberta.

What does Henry Vu work on?

Knowledge graphs, retrieval, and evaluation for LLM products; AI and mixed reality apps for Meta Quest; and domain-aligned pretraining and quantization for medical ultrasound segmentation. Earlier, online algorithms and multi-armed bandits at Amii and SODALab.

Where does Henry Vu work?

eXRealityAI, where he builds XR Auto Service and Smart DVI; and ThorMed Innovation, as a computer vision engineer on NIH-funded bladder segmentation.

What has Henry Vu built?

XR Auto Service and Smart DVI at eXRealityAI, a spatial AI platform that puts an agent on a technician's headset for repairs and inspections; an offline voice-to-voice assistant; GardenXR, published on the Meta Horizon Store; DatDai, a Vietnamese land-law assistant on Cloud Run with a citation verifier; an ADHD coaching agent with guardrails and an evaluation suite; and ML Interview Practice, a browser-only Python practice site.

Where did Henry Vu study?

B.Sc. in Computing Science with Honors, summa cum laude, from the University of Alberta, and an M.Sc. in Computer Science at the University of Texas at Dallas, expected Summer 2027.

What is Henry Vu's blog about?

Henry Vu writes deep-dive technical content at henryvu.blog about AI engineering (context engineering for LLMs, RAG systems, agent architectures), ML systems (inference optimization, serving infrastructure), and reinforcement learning (multi-armed bandits, exploration-exploitation tradeoffs). His writing is aimed at practitioners who build real ML systems.

Henry Vu, Machine Learning Engineer in Dallas

About

Hey, I'm Henry. I'm a machine learning engineer at eXRealityAI in Dallas, and I'm finishing my M.Sc. in Computer Science at UT Dallas, expected Summer 2027. Before that I did my B.Sc. Honors in Computing Science at the University of Alberta.

At eXReality I build XR Auto Service and Smart DVI, a spatial AI platform for auto shops. It puts an agent on a technician's headset that guides them through a repair or an inspection and answers questions from a repair knowledge graph. I lead engineering on Smart DVI and own its AI layer, and I shipped GardenXR to the Meta Horizon Store.

On the research side I work with Dr. Katherine Brown at UT Dallas on NIH-funded ultrasound segmentation, and earlier I did online algorithms and bandits at Amii. I write about all of this at henryvu.blog.

My resume

Where I've worked

Machine Learning EngineereXRealityAI
Aug 2025 to now
- Lead engineer on Smart DVI, a Meta Quest 3 inspection app in production at auto-repair shops. I direct its development and own its AI layer, from photo grading to the agents that run on the headset, VIN reading and voice.
- Built the evaluation behind its photo grading, measuring models on real inspections and using what that showed to decide what ships.
- Built XR Auto Service end to end, a Meta Quest 3 app that guides a technician through a repair, from the headset app to the knowledge graph and retrieval behind its assistant.
- Shipped GardenXR to the Meta Horizon Store and built an offline voice-to-voice assistant.
Computer Vision EngineerThorMed Innovation
Feb 2025 to now
- Modeling lead on an NIH-funded project to segment the bladder in clinical ultrasound, so patients can be monitored without a catheter.
- Pretrained U-Net encoders on 9,204 thyroid and breast ultrasound images, supervised and with SimSiam, before fine-tuning on bladder images, reaching 96 percent Dice.
- Quantized the models to 4-bit weights for portable ultrasound devices. Domain-pretrained encoders kept 75 to 93 percent Dice, while ImageNet-initialized ones fell to 11 to 71 percent.
- Built the pipeline that extracts and cleans frames from clinical ultrasound video.
Teaching AssistantUT Dallas
Jan 2025 to May 2025
- Algorithms and data structures: weekly office hours, seminar and exam material, and technical reviews for more than a hundred students.
Undergraduate Research AssistantSODALab
Dec 2023 to May 2024
- A theoretical and empirical survey of multi-armed bandits across stochastic, adversarial, Markovian, and restless settings, with Dr. Xiaoqi Tan.
- Simulations comparing UCB, Exp3, Thompson sampling, and the Gittins index, written up here.
Teaching AssistantUniversity of Alberta
Sep 2023 to May 2024
- Algorithms and data structures for a few hundred students: office hours, weekly problem-solving sessions, and grading.
Undergraduate Researcher, Online LearningAmii
Apr 2022 to May 2023
- Online optimization with the primal-dual framework: conversion, knapsack, and bipartite matching problems where decisions are made before all the input arrives.
- Algorithms that use machine-learned predictions to beat worst-case bounds when the predictions are good, without losing the guarantees when they are not.

Projects

Smart DVI2025
XR Auto Service2025
Ultrasound Bladder Segmentation2025 Paper Code
DatDai2026 Code
ADHD Coaching Agent2026 Code
GardenXR2025 Store
Bandits and Online Algorithms2024 Code
ML Interview Practice2026 Source
Agentic Framework for Suspect Detection2026

Get in touch

I read every message. Drop me a line and I'll get back to you soon.

About

Where I've worked

Machine Learning EngineereXRealityAI

Computer Vision EngineerThorMed Innovation

Teaching AssistantUT Dallas

Undergraduate Research AssistantSODALab

Teaching AssistantUniversity of Alberta

Undergraduate Researcher, Online LearningAmii

Projects

Get in touch