About Me.

My journey into software development began with curiosity and late-night debugging sessions. My browser history tells the story: localhost environments, Kubernetes documentation, and the occasional deep dive into Stack Overflow threads solving production issues.

I started building full-stack applications through hands-on experimentation, learning early on that backend systems often provide more predictable feedback than frontend styling challenges. While CSS can be demanding, modern frameworks like Tailwind have streamlined my workflow considerably.

Today, I architect distributed systems and deploy microservices with careful consideration for scalability and reliability. I work extensively with React.js, Next.js, Node.js, NestJS, Go, Python, PostgreSQL, MongoDB, Redis, RabbitMQ, Docker, and Kubernetes. I've learned that debugging YAML configurations requires patience and a systematic approach, especially when troubleshooting CI/CD pipelines.

I'm currently developing an AI-powered Code Review and Bug Detection Platform designed to accelerate development cycles and improve code quality. The platform uses intelligent pattern recognition, automated review workflows, and contextual analysis to identify potential issues early in the development process. By combining machine learning with practical development workflows, the system helps teams ship more reliable software faster.

I believe in pragmatic engineering: writing maintainable code, leveraging containerization for consistency, and continuously learning from both successes and failures. My approach focuses on building robust systems that scale effectively and solve real problems.