Luis Capelo
Software Engineer at Modal Labs
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolLuis Capelo is a software engineer and machine learning practitioner with 12 years of experience building products that amplify human cognition and creativity. Based in New York, he blends hands-on ML engineering at Modal Labs with founding experience as CTO of Lightning AI and prior leadership roles launching AI-driven editorial tools at Forbes. His work spans data engineering, humanitarian-focused analytics, and production ML—highlighted by contributions to Modal examples that optimized Stable Diffusion throughput and model loading for real-world use. Comfortable moving between research, product, and infrastructure, he has a track record of shipping pragmatic systems that inform decision-making in media, public health, and startups.
12 years of coding experience
10 years of employment as a software developer
Social Sciences, Political Science, Social Sciences, Political Science at Universidade Federal do CearáSummer Program, Arabic Studies and Political Science, Summer Program, Arabic Studies and Political Science at Birzeit UniversityCross-registered Student, Quantitative Methods, Cross-registered Student, Quantitative Methods at Massachusetts Institute of TechnologyUniversity of SevilleBachelor's degree (dropped out), Economics, Bachelor's degree (dropped out), Economics at Universidade de FortalezaMA, Science and Technology Policy, MA, Science and Technology Policy at Harvard UniversityInterchange Program, Latin American History and Politics, Interchange Program, Latin American History and Politics at Universidad Nacional de La Plata
Portuguese, Spanish, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
pytorch10
python10
machine-learning10
stable-diffusion10
modals10
diffusers10
modal-dialog10
gpu10
modal-windows10
accelerator8
acceleration8
acc8
transformers7
cloud-computing4
dockers4
Programming languages (14)
Github contributions (5)
modal-labs/modal-examples
Sep 2022 - Jan 2023
Examples of programs built using Modal
Role in this project:
ML Engineer
ML EngineerContributions:42 reviews, 18 commits, 65 PRs in 3 months
Contributions summary:Luis primarily focused on enhancing and optimizing examples related to Stable Diffusion within the Modal framework. Their contributions include integrating `safetensors` for faster model loading, adding a `batch_size` parameter to assess GPU throughput, and switching the scheduler to DPMSolver++ for improved image generation with fewer steps. Additionally, the user improved overall code quality through bug fixes and pinning Python to version 3.10.
pytorchpythonmodalgpuserverless
luiscape/hdxviz-eastafrica-data-heatmap
Mar 2015 - Jul 2015
Contributions:50 commits, 38 PRs, 44 pushes in 4 months
data-availabilityeast-africaavailabilityheatmap
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.