Pablo Salamanca
Machine Learning Engineer at Netflix
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolPablo Salamanca is a Machine Learning Engineer with nine years of cross-functional experience building production-ready AI and software systems, currently developing diffusion model pipelines at Netflix Eyeline Labs. A UPenn computer science graduate, he blends academic research—his undergrad thesis led to work on "Go-with-the-Flow"—with hands-on engineering across cloud-native APIs and computer vision. At Amazon he turned FFT-based blurriness detection into an AWS Lambda-backed API, improving latency and reliability for video ad moderation. His background spans startups and hardware-integrated roles (mechatronics at Monarch Tractor) to product-focused engineering at Oliver Space, giving him a practical systems perspective from embedded to large-scale cloud services. Known for moving research prototypes into scalable production, he pairs strong implementation skills (Python, OpenCV, CDK, Docker) with an eye for visual effects and VFX tooling. Based in Philadelphia, he brings creative problem solving and a rare mix of VFX research and production ML engineering.
9 years of coding experience
2 years of employment as a software developer
Andrée English SchoolBachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at University of Pennsylvania
Spanish, English
Github Skills (1)
diffusion-models4
Programming languages (4)
Github contributions (5)
Pablerdo/Wireless-T-F-Timing-System
Nov 2020 - May 2022
Contributions:15 commits, 3 PRs, 11 pushes in 1 year 5 months
Pablerdo/pablosalamanca
Sep 2022 - Sep 2024
Contributions:17 pushes, 1 branch in 2 years 1 month
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