Francis Labounty
Machine Learning Engineer at SERP AI
Culbertson, Montana, United States
Summary
🤩
Rockstar🎓
Top SchoolFrancis Labounty is a Machine Learning Engineer with five years of experience building production-grade multimodal AI systems, currently driving ML development at SERP AI. With a Computer Science background from Montana State and further training in data science from Lambda School, he blends practical engineering in Python with a focus on deployable models and pipelines. His early work supporting students as a paraprofessional gave him a user-centered approach to problem solving and an ability to translate complex concepts for nontechnical stakeholders. Passionate about open source and community-driven projects, he brings both hands-on implementation skills and a collaborative mindset to teams working at the intersection of ML research and product.
5 years of coding experience
Computer Science, Computer Science at Montana State University-BozemanData Science, Data Science, Data Science, Data Science at Lambda School
Stackoverflow
1reputation
0reached
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Github Skills (41)
speech10
text-to-speech9
json9
regex9
speech-synthesis9
speech-to-text9
voice-conversion9
vocoder9
symbolic-ai9
prompt-engineering9
python8
depth8
deep-learning8
asr8
generative-ai8
Programming languages (2)
Github contributions (5)
francislabountyjr/stable-diffusion
Aug 2022 - Sep 2022
Contributions:45 commits, 4 PRs, 36 pushes in 1 month
francislabountyjr/Dreambooth-Anything
Jan 2023 - Jan 2023
A repository to consolidate stable diffusion finetuning scripts. Train inpainting, depth, v1+, v2+, image variations, image colorization, whatever. Train with optimizations like 8 bit adam and xformers for faster and more memory efficient training.
Contributions:18 commits, 4 PRs, 16 pushes in 16 days
memoryoptimizationsfinetuningtrainingdiffusion
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