const hikiZRX = {
role: "Backend Architect & Distributed Systems Engineer",
location: "π Building the future, one microservice at a time",
currentFocus: "Event-Driven Architecture & Real-Time Systems",
philosophy: {
code: "Write code that speaks for itself",
architecture: "Design systems that scale infinitely",
performance: "Speed is not optional, it's mandatory",
reliability: "99.99% uptime or bust π"
},
dailyRoutine: [
"β Coffee++",
"ποΈ Architect distributed systems",
"β‘ Optimize performance bottlenecks",
"π₯ Ship production-grade code",
"π Learn something new",
"π Dream in microservices"
]
};π€ CAPI - Intelligent Analytics Engine
AI-Powered Data Analysis Platform β Transforming raw data into actionable intelligence
Impact: 85% workflow automation
Capability: Real-time dynamic analytics
Security: Enterprise-grade protection
Status: Production @ ScaleTech Stack:
Key Features:
- π§ Advanced AI-driven insights
- β‘ Real-time data processing
- π Multi-layer security architecture
- π Interactive visualization dashboards
- π Horizontal scalability
π©Έ RED-DROP M - Blood Bank Network
Mission-Critical Distributed Platform β Connecting lives through technology
Architecture: Event-Driven Microservices
Real-Time: Apache Kafka Event Streaming
Scale: Multi-tenant cloud infrastructure
Impact: Thousands of lives savedTech Stack:
System Components:
- π₯ Hospital Portal β Comprehensive management system
- π Admin Dashboard β Real-time analytics & control
- π₯ Donor App β Mobile-first user experience
- β‘ Event Bus β Kafka-powered message streaming
- π Microservices β Independently scalable services
π SkyBell - Notification Infrastructure
Enterprise Notification Service β Built for performance, scaled for millions
Architecture: Distributed Notification System
Protocol: gRPC + WebSocket
Queue: BullMQ with Redis backing
Throughput: 1M+ notifications/hour
Latency: <50ms p99Tech Stack:
Core Features:
- π― Dynamic Namespaces β Multi-tenant isolation
- π Auth & Authorization β JWT-based security
- βοΈ Job Concurrency β Advanced queue management
- π‘ Bi-directional Comms β Real-time updates
- π High Performance β Optimized for speed
+ System Design & Scalability βββββββββββββββββββββ 95%
+ Load Balancing & High Availability βββββββββββββββββββββ 92%
+ Service Mesh & Network Optimization βββββββββββββββββββββ 90%
+ Fault Tolerance & Circuit Breakers βββββββββββββββββββββ 88%+ RESTful & GraphQL APIs βββββββββββββββββββββ 94%
+ gRPC & Event-Driven Systems βββββββββββββββββββββ 93%
+ API Gateway & Service Discoveryβββββββββββββββββββββ 91%
+ Container Orchestration βββββββββββββββββββββ 89%+ WebSocket & Server-Sent Events βββββββββββββββββββββ 96%
+ Apache Kafka & Message Queues βββββββββββββββββββββ 93%
+ Pub/Sub Architectures βββββββββββββββββββββ 92%
+ Real-Time Data Processing βββββββββββββββββββββ 90%+ SQL Optimization & Query Designβββββββββββββββββββββ 93%
+ NoSQL & Document Stores βββββββββββββββββββββ 91%
+ Redis & Distributed Caching βββββββββββββββββββββ 94%
+ Database Sharding & Replicationβββββββββββββββββββββ 88%Capturini β’ Envirm β’ GDG Algiers β’ ISDBI β’ Orka-Tatweer β’ Red-Drop-M β’ RooninKai β’ Saitrm β’ The Basee
Code Quality:
- Clean, self-documenting code
- Comprehensive test coverage
- Continuous refactoring
Architecture:
- Design for scale from day one
- Embrace distributed patterns
- Fail fast, recover faster
Performance:
- Optimize critical paths
- Monitor everything
- Sub-100ms response times
Security:
- Zero-trust architecture
- Defense in depth
- Encrypt everything
