Zach Nagengast

Head Of Software at Indie Ridge

Santa Monica, California, United States
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Summary

🤩
Rockstar
🎓
Top School
Zach Nagengast is a Head of Software with 12 years of experience building and optimizing AI/ML systems for edge devices from Santa Monica. Currently leading software at Argmax, he focuses on squeezing large foundation models onto constrained hardware and shipping production-ready on-device ML. He co-founded and scaled an e-commerce business from $500 to over $1M annual revenue, bringing product and growth intuition to technical leadership. Prior roles span mobile engineering and management at Wheels and Wag, where he drove growth-focused iOS development and cross-functional teams through acquisition and public exits. An active open-source contributor, Zach has helped integrate Stable Diffusion pipelines into Apple Core ML for Apple Silicon, adding denoised latents and SDXL/SD3 support to improve on-device previews and decoding. He combines mechanical engineering roots with hands-on mobile and ML engineering, often tackling problems across hardware, firmware, and product.
code12 years of coding experience
job10 years of employment as a software developer
bookUniversity of California San Diego
bookPaso Robles High School
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Github Skills (8)

machine-learning10
swift10
stable-diffusion10
coreml10
python9
computer-vision8
pytorch8
mlops7

Programming languages (7)

TypeScriptC++Objective-CSwiftJupyter NotebookRubyPython

Github contributions (5)

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apple/ml-stable-diffusion

Jun 2023 - Sep 2024

Stable Diffusion with Core ML on Apple Silicon
Role in this project:
userML Engineer
Contributions:23 reviews, 9 PRs, 64 comments in 1 year 3 months
Contributions summary:Zach primarily contributed to the implementation and enhancement of the Stable Diffusion pipeline within the repository, focusing on optimizing the integration of Core ML on Apple Silicon. They added support for denoised latent images, which improved progress updates and previews. They also refactored the pipeline to send denoised latents to the final decoder and added support for the SDXL refiner. Furthermore, the user integrated the SD3 pipeline.
silicondeep-learningapple-siliconmachine-learningcoreml
LAION-AI/Discord-Scrapers

Oct 2023 - Jun 2024

Implementation of a discord channel scraper to generate datasets.
Contributions:16 reviews, 9 PRs, 52 pushes in 8 months
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