Ahmed Salama
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolAhmed Salama is a software and AI leader with 15 years of experience building production-grade ML and distributed systems, most recently transforming an LLM prototype into a multi-agent enterprise AI platform as Head of AI at Breadcrumb.ai. He excels at bridging strong algorithmic foundations with pragmatic engineering—designing semantic schema models, RAG retrieval over large tables, SQL validation layers, and robust evaluation pipelines to turn demos into reliable products. Previously he led identity-resolution and cross-tenant query infrastructure at Amperity, drove company-wide DynamoDB architecture and $1.5M in annual savings at Lyft, and built large-scale ranking pipelines at Microsoft. An active contributor to PynamoDB, he has hands-on experience improving DynamoDB integrations and data handling for production workloads. Based in Seattle, he focuses on multi-agent AI, LLMs with structured data, and the reliability and correctness of AI-driven systems.
15 years of coding experience
8 years of employment as a software developer
Bachelor degree, Computer Engineering, VeryGood With Honors, Bachelor degree, Computer Engineering, VeryGood With Honors at Cairo University
Arabic, English
Github Skills (11)
amazon-dynamodb10
dynamodb10
aws10
python10
database9
binary-data9
data-handling9
databases9
testing8
apidoc7
api7
Programming languages (2)
Github contributions (5)
pynamodb/PynamoDB
Dec 2017 - May 2018
A pythonic interface to Amazon's DynamoDB
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 28 PRs, 44 comments in 5 months
Contributions summary:Ahmed contributed to the `pynamodb` project, a Python interface for DynamoDB. Their work involved implementing rate limiting parameters for boolean attribute migrations, updating documentation, and fixing deserialization bugs within the codebase. Key contributions include improving data handling, specifically for binary and boolean attributes and introducing a rate limited page iterator, thereby enhancing performance and functionality related to DynamoDB interactions.
aws-dynamodbpythonamazonamazon-dynamodbdynamodb
betamoo/Robots-Routing-using-Swarm-Intelligence
Dec 2010 - Sep 2017
Contributions:69 commits, 3 pushes, 1 branch in 6 years 9 months
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