Ezzeddin Abdullah is a Senior Software Engineer with a decade of experience building high-performance backend systems and data platforms, specializing in Python and Node.js. He has repeatedly cut latency and operating costs in production—most notably delivering a 95.5% RAG pipeline latency reduction and dramatically reducing LLM infrastructure spend for an Oxford spin-off. His work spans scalable ETL, multi-tenant PostgreSQL schemas, Weaviate/FAISS vector search, Kafka event streaming, and Snowflake-backed analytics, plus hands-on integrations like Stripe and DocRaptor. Comfortable in remote, async teams, he also contributes to well-known samples such as AWS Textract Python code examples, focusing on pragmatic refactors and DRY improvements. Pragmatic about reliability, he designs fault-tolerant workflows (DLQs, idempotency) and graceful failure handling that keep AI systems production-safe.
10 years of coding experience
11 years of employment as a software developer
Bachelor's degree, Electrical, Bachelor's degree, Electrical at Faculty of Engineering,Ain Shams University
Contributions summary:Ezzeddin primarily focused on improving and refactoring the Python code samples related to Amazon Textract. Their contributions include fixing code style issues, converting function names to snake case for better readability, and addressing camel case inconsistencies. Furthermore, the user added the region argument to the `boto3.client` calls and applied DRY principles by passing the client as an argument to functions. Additionally, the waiting time was reduced before GET requests.
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.
Request Free Trial
Ezzeddin Abdullah - Senior Backend Developer at Ezz Digital LLC