Liam Seidel · Software & AI Engineer

Currently

Automating operations at Isola Group

As a Digital Process Optimization Specialist, I built a TypeScript pipeline on SAP OData that puts aged product back into orders. It saves about $10K a week and cut aged material at the target plant by 26% in six months.

About me

I graduated from San Diego State University with a B.S. in Computer Science and a minor in Applied Mathematics. I joined Isola Group as a software engineer intern in 2025 and moved into my current role in April 2026, where I build internal tools and automation on SAP, Azure, and the OpenAI API.

I've also been a research assistant at SDSU Urban Computing since 2024, working on diffusion models for traffic prediction. At SDSU I led the Brain Tumor Segmentation project in the AI Club and organized philanthropy events with Tau Kappa Epsilon.

Most of my free time is spent in the outdoors. I love to surf, play pick-up soccer, and go camping camping. I also love music and play the drums every chance I get!

I'm looking for Software Engineering and AI Engineering roles. If you're hiring, I'd love to hear from you.

The route so far

Experience

Apr 2026 — Present

Digital Process Optimization Specialist

Isola Group

Built an SAP OData order-to-inventory pipeline in TypeScript to repurpose aged product, saving about $10K per week.
Reduced aged material at the target plant by 26% in six months.

Jul 2025 — Apr 2026

Software Engineer Intern

Isola Group

Built a cloud-based customer inquiry automation with Azure Functions, Power Automate, and the OpenAI API, cutting manual inquiry work by about 500 hours a year.
Managed the company website, updating product and partnership content as directed by leadership.

Mar 2025 — Jun 2025

Technical Ambassador

July AI

Gave presentations to audiences of 500+ and worked closely with the team on LLMs, prompt engineering, and red teaming.
Grew the user base 20% in one month and wrote a reusable playbook for future ambassadors.

Sep 2024 — Sep 2025

Research Assistant

SDSU Urban Computing

Research with Dr. Xin Zhang on diffusion-based spatio-temporal generative models (STGAIL) using PyTorch and GCNs to improve urban traffic prediction.
Designed custom evaluation metrics and improved encoder-decoder performance with GPU-accelerated training.

Apr 2024 — Jul 2025

Instructor

Coding Minds

Taught Java, C++, and Python, along with web development and generative AI.

Field guide

Projects

No. 01

Overland

A road trip planner. You can sketch several routes for the same trip and compare distances, drive times, and budgets side by side. Claude suggests stops along each route, and a six-character trip code lets others open the same map without an account.

Next.js · TypeScript · Supabase · Mapbox · Claude API

Live site ↗ · Code ↗

No. 02

Shape-Aware Manifold Packing

A research project for CS 652 that extends CLAMP, a self-supervised learning method from NeurIPS 2025. I added anisotropic overlap detection and orientation-aware repulsion to the loss, vectorized the Mahalanobis distance computation, fixed memory and fp16 stability issues, and ran CIFAR-100 experiments on A100 GPUs.

PyTorch · Lightning · Self-supervised learning

Code ↗

No. 03

Brain Tumor Segmentation

A U-Net model that segments tumor regions in brain MRI scans from the BraTS dataset. Trained with Dice and cross-entropy loss, it reached a Dice coefficient of about 0.87. I led this project for the SDSU AI Club.

PyTorch · Keras · U-Net

Code ↗

No. 04

AI Voice Clone

Designed and trained an RNN voice cloning model on spectrogram embeddings, with its own preprocessing and post-processing pipelines. It reached about 85% MOS similarity.

RNN · Audio · Python

No. 05

Multi-threaded Delivery Service

A multi-threaded delivery simulator in C++ that implements page replacement and virtual memory.

C++ · Concurrency · OS

No. 06

liamseidel.com

This site. Designed and built from scratch with HTML, CSS, and JavaScript.

HTML · CSS · JS

Live site ↗

What's in the quiver

Skills

Languages

Python
TypeScript
C++
C
SQL

AI / ML

PyTorch
TensorFlow
HuggingFace
OpenAI API

Tools

Git
MongoDB
Azure Functions
Power Automate
SAP OData

Education

San Diego State University

B.S. Computer Science
Minor in Applied Mathematics

3.5GPA

Coursework: Machine Learning, Deep Learning, Neural Networks, Speech Processing, Advanced Linear Algebra, Discrete Mathematics