Muaaz Salagar

Senior ML Engineer at Adobe

San Francisco Bay Area United States
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Summary

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Muaaz Salagar is a Senior Machine Learning Engineer based in the San Francisco Bay Area with a decade of experience building and scaling production ML and distributed systems. He currently works on Adobe Firefly’s image generation inference stack and content-safety pipelines, having previously optimized large-scale ML systems at Disney Streaming and low-latency text search, ranking, and KNN/HNSW solutions at Salesforce. His background spans backend and infrastructure engineering across companies like Dell EMC and John Deere, with hands-on expertise in non-blocking Java microservices, Terraform-backed AWS infra, and C++ systems work from earlier roles. He combines research-minded rigor from a Northeastern CS master’s with practical production focus, shipping latent-search and model-serving improvements that move prototypes to low-latency reality. Notably, he bridges model scaling and safety—working on Image4/4 Ultra/Image5 deployments—bringing an uncommon mix of storage, search, and generative-model inference experience to product-focused ML engineering.
code10 years of coding experience
job11 years of employment as a software developer
bookBachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at Walchand College of Engineering Sangli
bookMaster's degree, Computer Science, Master's degree, Computer Science at Northeastern University
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Github Skills (29)

mongoose10
mongoosejs10
expressjs9
angularjs9
mean9
eclipse9
mongodb8
web-application8
nodejs7
javascript7
full-stack7
html6
angular6
ruby-on-rails6
filepath6

Programming languages (1)

Python

Github contributions (5)

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Contributions:33 pushes, 1 branch in 10 months
Contributions:14 pushes, 1 branch in 17 days
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Muaaz Salagar - Senior ML Engineer at Adobe