Open to opportunities

EzzEddin Abdullah

@ezzeddinabdullah

Message

Senior backend & AI engineer building production RAG and scalable systems.

Egypt

Message

What I'm looking for

I want to build production-grade Python backend and AI systems—especially RAG/agents—with strong reliability (fault tolerance, audit trails) and modern CI/CD. I’m excited by teams that value clean architecture and measurable performance gains.

I’m a Senior Python Backend & AI Engineer with 6 YoE building production systems end-to-end, from data ingestion to resilient AI workflows. I optimized a production RAG pipeline to achieve 95.5% latency reduction (90s → 4s) using Weaviate filtering, async architecture, and LLM caching with graceful failure handling. I’ve also built full-stack e-commerce and retail analytics experiences, including Elasticsearch search and production-grade API layers.

Across roles, I deliver reliable backend foundations for AI: agentic RAG with LangGraph, GPT-4o workflows, and fault-tolerant processing (DLQ, idempotent execution), plus scalable ETL and multi-tenant schemas. I care about systems that behave well in production—clean architecture, observability, audit trails, and CI/CD—whether I’m integrating Stripe billing, building healthcare triage, or evolving from PostgreSQL DBA into backend infrastructure leadership.

Experience

Work history, roles, and key accomplishments

Current

Senior Backend Engineer

Current

Ezz Digital LLC

Jul 2025 - Present (10 months)

Optimized a production RAG pipeline, reducing latency from 90s to 4s (95.5% reduction) using Weaviate filtering, async architecture, and LLM caching with graceful failure handling. Built a retail dashboard and full-stack e-commerce/search components using React, Supabase/PostgreSQL (30+ models), Clerk RBAC, and 80+ Express/Prisma API endpoints.

RAG Weaviate fastAPI SQLModel Elasticsearch PostgreSQL React

AI Engineer

Saudi Hotel Chain

Nov 2024 - Jul 2025 (8 months)

Deployed a multi-agent AI system with LangGraph to handle 1000+ monthly conversations, achieving 70–80% automation using reservation API integrations with human escalation and full audit trails. Implemented production CI/CD and deployment automation with AWS Lambda and Jenkins.

LangGraph AWS Lambda CI CD TypeScript Prisma

Backend & AI Engineer

HoneyComb Ai

Apr 2022 - Oct 2024 (2 years 6 months)

Built a scalable recruitment platform using Flask microservices and PostgreSQL with AI-powered candidate matching for real-time processing. Designed normalized data models with SQLAlchemy ORM and evolved into backend infrastructure leadership, deploying containerized microservices on Azure.

Flask Microservices PostgreSQL SQLAlchemy Containerization Azure Container Apps Real time Data Processing REST APIs Data Modeling

Data Platform Engineer

Smart Eye

Jun 2021 - Feb 2022 (8 months)

Built ETL pipelines to ingest third-party labels into Presto using AWS Lambda with Jenkins-based CI/CD, enabling continuous delivery. Integrated annotation APIs and automated ingestion to Amazon S3 with Python/boto3, and optimized Plotly-based visualization workflows to cut stakeholder delivery time by 50%.

ETL AWS Lambda Presto Jenkins CI Amazon S3 Data Visualization Plotly Continuous Delivery

Education

Degrees, certifications, and relevant coursework

Ain Shams University

Bachelor of Science, Electronics and Communication Engineering

2013 - 2018

Activities and societies: Developed a Snowflake data warehouse (star schema) and ML to predict gas concentrations; built/connected PostgreSQL-to-Snowflake/Elasticsearch ETL pipelines; included a full-stack e-commerce platform with Elasticsearch search/analyzer.

B.S. in Electronics and Communication Engineering. Graduation project focused on an Optical Gas Analyzer using a machine learning algorithm to predict unknown concentrations of gas spectra.