From microservices to autonomous operations. I architect and build distributed systems that handle millions of requests, self-heal from failures, and scale seamlessly with AI-powered intelligence.
End-to-end distributed systems with modern architecture patterns and AI integration
Decompose monoliths into independent, scalable services. Each service owns its data and business logic.
Container orchestration at scale. Automated deployment, scaling, and management of containerized applications.
Build reactive systems that respond to events in real-time. Async processing for ultimate scalability.
Multi-database strategies. SQL, NoSQL, caching layers, and search indexes working in harmony.
Self-healing systems with predictive analytics. AI monitors, predicts failures, and takes corrective action.
Systems that keep running when components fail. Circuit breakers, retries, fallbacks, and bulkheads.
A layered approach to building systems that scale from hundreds to millions of users
CDN, DDoS protection, and edge computing for global low-latency delivery
Request routing, rate limiting, authentication, and load balancing
Containerized microservices running on Kubernetes with auto-scaling
Async communication between services via message queues and event streaming
Polyglot persistence with SQL, NoSQL, cache, and search engines
Intelligent services for prediction, recommendation, and automation
Monitoring, logging, tracing, and alerting for complete system visibility
The complete modern stack for distributed systems
Docker
Kubernetes
Python
Node.js
PostgreSQL
MongoDB
Redis
Elasticsearch
Kafka
RabbitMQ
AWS
GCP
From concept to production-ready distributed system
Domain modeling, service boundaries, and data flow design
Service development, containerization, and CI/CD pipelines
Kubernetes orchestration, monitoring setup, and scaling config
Performance tuning, AI integration, and continuous improvement
Whether you're starting from scratch or modernizing legacy systems, I'll architect a solution that scales with your business.