I design and build high-performance backend systems that remain stable under real-world load, not just in development, but in production.
With strong experience in Java (8-21), Python, and distributed architectures, I help startups and businesses build scalable, reliable, and efficient systems that handle high traffic and real-time data processing.
My core expertise includes:
• Backend development using Java (Spring Boot)
• REST & SOAP API design and microservices architecture
• Real-time systems (WebSockets, streaming pipelines, event-driven systems)
• Distributed systems and high-concurrency architectures
• Performance optimization (low latency, GC tuning, throughput improvement)
• System integration (third-party APIs, messaging systems, data pipelines)
• Kubernetes and containerized deployments
Technologies I work with include:
Java, Spring Boot, Kafka, RabbitMQ, Redis, PostgreSQL, MySQL, MongoDB, Oracle, Linux
I specialize in solving complex backend challenges such as:
• Systems slowing down under load
• APIs that don’t scale efficiently
• Real-time data processing and streaming issues
• Backend bottlenecks and instability
• High memory usage and garbage collection problems
What sets me apart is my focus on performance and reliability. I don’t just build features. I design systems that scale, recover from failure, and perform consistently under pressure.
I apply best practices such as efficient resource management, fault tolerance (retry, fallback strategies), and observability (logging, monitoring, metrics) to ensure systems are production-ready.
Recent work includes building real-time WebSocket systems handling 500+ concurrent connections, optimizing backend performance to reduce latency, and designing scalable data pipelines.
If you need a backend engineer who understands real-world scalability, performance, and reliability, I’m ready to help.