Muaaz Salagar

Senior ML Engineer at Adobe

San Francisco Bay Area United States
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Summary

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Senior
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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 (17)

angularjs9
eclipse9
mongodb8
full-stack8
nodejs8
html6
ruby-on-rails6
filepath6
gemfile6
amazon-s36
sqlite6
java6
mysql6
python-modules4
python3

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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