Dave Lage
Senior Applied AI Engineer Consultant at rockerBOO LLC
Springfield, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolDave Lage is a Senior Applied AI Engineer consultant with 15 years of hands-on engineering experience and a 20-year history building production software, now focused on deploying and optimizing large-scale generative models. Based in Springfield, MA, he has trained 3,000+ models across 800M–12B parameter architectures and contributed 30+ enhancements to prominent Stable Diffusion tooling, delivering practical research implementations like LoRA+ and attention-processor improvements. Equally comfortable in front-end and back-end work, Dave has shipped React/Rust analysis tools used by thousands monthly, built distributed ingestion systems with RabbitMQ and Rekognition, and upgraded core libraries from canvas SVG parsing to Neovim plugins. He founded a SaaS product that reached 10,000 users and led platform pivots that produced millions in ARR, demonstrating product thinking alongside deep engineering. Known for pragmatic performance optimizations—doubling large-model training speed—and for bridging research code to production, he thrives on taking ML experiments into reliable services.
15 years of coding experience
15 years of employment as a software developer
Web Programming, Internet, Web Programming, Internet at Springfield Technical Community College
English
Stackoverflow
2,990reputation
183kreached
20answers
11questions
Github Skills (57)
pytorch10
javascript10
tree-sitter10
back-end-development10
apidoc10
python10
amqp10
canvas10
testing10
attention-mechanism10
configuration-management10
machine-learning10
typescript10
stable-diffusion10
document-generation10
Programming languages (23)
Github contributions (5)
nvim-telescope/telescope.nvim
Aug 2020 - Apr 2022
Find, Filter, Preview, Pick. All lua, all the time.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:10 reviews, 76 commits, 47 PRs in 1 year 8 months
Contributions summary:Dave contributed to the Neovim Telescope plugin, primarily focusing on improving the user interface and adding new features. Their work included implementing arrow key mappings, fixing display issues within the dropdown theme, and adding the TelescopeBorder highlight. They also added theme documentation and implemented auto-commands to improve the plugin's functionality.
nvim-lualuapickneovimnvim
kohya-ss/sd-scripts
Feb 2023 - Apr 2025
Role in this project:ML Engineer
ML EngineerContributions:16 reviews, 43 PRs, 202 comments in 2 years 2 months
Contributions summary:Dave primarily contributes to the model training and configuration aspects of the repository. They added and modified metadata related to Stable Diffusion training parameters, including min_snr_gamma and ip_noise_gamma. The user implemented an attention processor and LoRA+ support along with LoRA-FA to enhance the training process, and also fixed potential issues with the learning rate application. These modifications indicate a focus on improving and extending the capabilities of the underlying machine learning models.
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