Muhammad El Sayed

Designed and built a high-throughput log ingestion platform achieving 2.8x baseline throughput and significant CPU/memory reductions by combining Node.js, Redis Streams, ClickHouse, and a C++ consumer.

Engineered and optimized PL/SQL stored procedures and SQL queries to ensure data consistency across high-volume military records, handling 100K+ records under strict reliability requirements.

Reduced API response times by 65.45% and eliminated 92.83% of redundant DB queries via Django ORM optimizations and PostgreSQL composite indexing; designed PostGIS-based geospatial pipelines for interactive map visualizations.

Refactored legacy Django modules to improve maintainability and removed a critical N+1 query bottleneck, eliminating 70% of redundant DB queries and improving API response times.

Networking, TCP/IP, HTTP, Protocols, TLS

Debugging, Performance, Backend, Monitoring

Problem Solving, Resilience, Communication, Teamwork

Node.js, Event Loop, V8, Libuv, Architecture

Backend, HTTP, Proxies, Architecture, Caching

Databases, PostgreSQL, Indexing, Transactions, B-Trees

Functional Programming, Racket

Object-Oriented Programming, Ruby, Generics

Functional Programming, ML/SML

Completed a Bachelor of Science in Computer Engineering with coursework and projects focused on systems design, backend engineering, and high-throughput data processing.

PostgreSQL, SQL, Databases