Ahmed Magdy
I'm Ahmed Magdy, a Senior Full Stack Engineer with 7+ years of experience building real-time, AI-enhanced production systems. js, TypeScript, React, and related technologies.
About
I’m Ahmed Magdy, a Senior Full Stack Engineer with 7+ years of experience building real-time, AI-enhanced production systems. I specialize in WebRTC/WebSocket backends, LLM integration layers, voice synthesis, and scalable event-driven architectures, delivering robust experiences at scale using Node.js, TypeScript, React, and related technologies. I’ve shipped infrastructure handling 47,000+ daily concurrent WebSocket/WebRTC connections with 99.99% uptime, integrated ElevenLabs voice synthesis and Vertex AI into healthcare platforms, and designed AI/LLM pipelines including RAG architectures and tool-calling workflows in enterprise environments.
I’m passionate about building responsive multimedia chat interfaces, real-time communication systems with session continuity, and observability across complex stacks. I collaborate across product, design, and ops to deliver reliable systems and maintainable code, and I actively leverage AI development tools daily to push quality and productivity.
- 7 years' experience
- Joined April 2026
Skills· 17
Languages
- EnglishFluent
Industry experience
- Software & Internet
- Healthcare
- Professional Services
- Media & Entertainment
- Education
Work experience· 12 roles
Architected the entire booking engine from zero to production (~26,000 LOC) using Node.js/NestJS and TypeScript, supporting 4,200+ concurrent sessions with sub-300ms p95 API latency. Built a distributed service orchestration layer unifying five external APIs into a single transactional workflow using the Saga pattern, eliminating orphaned-charge issues (~$12K/month). Implemented distributed locking (Redis SETNX + TTL) with PostgreSQL row-versioning to reduce booking conflicts to zero. Designed multi-layer caching (Redis L1, PostgreSQL materialized views, CDN) reducing API response times from 820ms to 285ms. Created a 10-stage CI/CD pipeline with security scanning and canary deployments, achieving zero failed production releases across 94 deployments.
Architected the entire booking engine from zero to production (~26,000 LOC) using Node.js/NestJS + TypeScript. Designed a multi-tenant reservation system with 4,200+ concurrent sessions and sub-300ms p95 API latency. Implemented a distributed service orchestration layer unifying 5 external APIs into a single transactional workflow (Saga pattern with compensating transactions). Resolved a critical race condition in the cart system via Redis-based distributed locking and PostgreSQL row-versioning. Built a multi-layer caching stack (Redis L1, PostgreSQL materialized views L2, CDN edge L3) reducing API response times from 820ms to 285ms. Created a 10-stage CI/CD pipeline with SAST/DAST, container security, and canary deployments, achieving zero production failures across 94 releases.
Single-handedly designed and delivered the backend API layer (NestJS + TypeScript, 47 endpoints, 18 entities) powering an enterprise platform used by 2,200+ consultants. Replaced a legacy PHP system with significant technical debt and achieved zero unplanned downtime in 7 months. Conducted a deep PostgreSQL audit, optimized queries, and introduced composite/partial indexes. Architected real-time Salesforce CRM synchronization with 14,000+ daily events and implemented idempotent upserts with exponential backoff. Introduced Terraform IaC for GCP environments, reducing environment setup time from 2 days to 12 minutes.
Education
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