Distributed Systems Engineering Portfolio

A comprehensive implementation of production-grade distributed systems using Go and Python.

Architecture Philosophy

• Go: High-performance services, storage engines, network protocols
• Python: Orchestration, ML integration, complex business logic, analytics
• Communication: gRPC, Message Queues, REST APIs

Projects

1. Distributed Cache - Redis-like caching with consistent hashing
2. LSM-Tree Storage - High-performance storage engine
3. Social Graph Analyzer - Graph processing at scale
4. ML Recommendation Engine - Real-time personalization
5. Microservices Platform - Complete service mesh
6. Real-time Analytics - Stream processing pipeline

Development Setup

# Start development services
docker-compose -f docker-compose.dev.yml up -d

# Run Go services
cd go-services && go run ./cmd/cache-service

# Run Python services
cd python-services && source venv/bin/activate && python -m orchestrator

Performance Targets

• Latency: <10ms for cache operations
• Throughput: >100K req/sec per service
• Availability: 99.9% uptime
• Scalability: Horizontal scaling across regions