Hello, I'm

Muhammad
El Sayed

Software Engineer - Backend

Software engineer who reduced database query counts by 92.83% and improved API response times by 65.45% in production. Designed and built a high-throughput log ingestion platform (2.8x baseline performance) using Node.js, Redis Streams, ClickHouse, and C++. Specialized in system design, database optimization, API architecture, and event-driven distributed systems.

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About Me

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With a strong foundation in Computer Engineering from Alexandria University, I have spent the last year engineering high-performance backend solutions in production environments. My expertise lies in optimizing database interactions and architecting maintainable APIs using Django and PostgreSQL, successfully reducing API latencies and query counts in real-world applications.

While my core expertise is rooted in the Python ecosystem, I am actively expanding my technical horizon by building high-throughput, event-driven platforms using Node.js and C++. I apply a comprehensive approach to performance, bridging the gap between high-level system architecture and low-level code optimization—leveraging SIMD, branchless programming, and advanced concurrency models to engineer solutions that maximize hardware efficiency.

Education

Bachelor of Science in Computer Engineering

Alexandria University

Alexandria, Egypt • Sep 2018 - Jul 2023

Latest Articles

I write about backend development, system design, and software engineering best practices.

Jul 2025 • 1 min read

Array is contiguous in Memory, isn’t it?

Your CS Professor Lied: Why “Contiguous Memory” Isn’t the Whole Truth

programming-languagesmemory-managementprogramming

Read on Medium

Jul 2025 • 7 min read

Think You Know How SQL Queries Work? Think Again.

A Sneak Peek Under the Hood of Query Execution

sqlsql-optimizationpostgresql

Read on Medium

All Articles on Medium

Work Experience

Software Engineer (Reserve Officer)

Egyptian Armed Forces • Alexandria, Egypt

May 2024 - Present

Optimizing database performance and architecting backend systems.

Ensured data consistency across high-volume military records by engineering and optimizing complex PL/SQL stored procedures and SQL queries, handling 100K+ records under strict reliability requirements.

PL/SQLOracle DatabaseNode.jsC++

Software Engineer

Sindion Technology Ltd • Alexandria, Egypt

Sep 2023 - May 2024

Backend development optimizing performance and architecture.

Reduced API response times by 65.45% and eliminated 92.83% of redundant database queries by implementing Django ORM optimizations and PostgreSQL composite indexing on the production application, directly improving the end-user experience for the property management platform.
Enabled real-time interactive property boundary visualization on Google Maps by architecting a geospatial data pipeline using PostGIS (MultiPolygon geometries) and designing RESTful API endpoints that transform spatial data into GeoJSON format for the frontend mapping layer.
Created 20+ interactive API specifications with full request/response schemas and authentication flows by establishing a documentation system using OpenAPI (Swagger), Sphinx, and Read the Docs.

DjangoPostgreSQLPostGISOpenAPIDocker

Software Engineer Intern

Sindion Technology Ltd • Alexandria, Egypt

Jul 2022 - Oct 2022

Refactoring legacy code and resolving performance bottlenecks.

Improved codebase maintainability by refactoring legacy Django modules — extracting repetitive logic into reusable utility functions following DRY principles, reducing code duplication across the application layer.
Eliminated 70% of redundant database queries and measurably improved API response times by identifying and resolving a critical N+1 query bottleneck in Django REST Framework views.

DjangoDjango REST FrameworkPython

Featured Projects

High-Throughput Log Ingestion Platform

A high-throughput log ingestion system built with Node.js, Redis Streams, ClickHouse, and C++, achieving 2.8x baseline performance through iterative optimization. Implements onion architecture, a polyglot API layer (HTTP/1.1, HTTP/2, gRPC), distributed tracing, S3 archival, and experimental vector semantic search.

Achieved 2.8x throughput improvement (6,071 → 17,255 req/s)
Reduced network payload size by 54% and increased parsing throughput by 9.4x
Increased ingestion consumer throughput by 2.7x, reduced peak CPU load by 75%, cut memory usage by 80% by rewriting in C++
Instrumented with OpenTelemetry distributed tracing and Jaeger visualization
Implemented log archival to AWS S3 with lifecycle policies
Designed with onion architecture + experimental vector semantic search using OpenAI embeddings

Node.jsC++ClickHouseRedisDockergRPCJest

Code

Social Network API

Built RESTful API for social networking platform with Django REST Framework and PostgreSQL, implementing core features (posts, follows, comments, likes) with JWT-based authentication.

Architected modular backend across 6 specialized Django apps with 20+ API endpoints handling user management, content CRUD operations, and social graph relationships with JWT-based authentication.
Designed PostgreSQL database schema leveraging JSONB fields for flexible post metadata storage, optimizing queries through Django ORM with select_related and prefetch_related techniques.
Containerized application using Docker, configured SSL certificates for secure HTTPS communication.

DjangoDjango REST FrameworkPostgreSQLRedisDocker

Code