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🌱 I’m currently learning Guardrails
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💬 Ask me about Java, Spring Boot, Kafka, Redis, CI/CD, Kubernetes
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📫 How to reach me [email protected]
These are the core technologies I use across AI-powered applications, backend systems, and cloud-native architectures:
- Linux / Debian / Ubuntu – My go-to environments for development, server management, and container-based deployments. I rely heavily on CLI tools and shell scripting for automation.
- Git / BitBucket / GitFlow – Used for managing version control, collaborative workflows, and branching strategies in team-based development.
- Docker – Essential for containerizing applications, ensuring consistency across development, staging, and production environments.
- Apache Kafka – Utilized for building real-time, event-driven architectures and high-throughput data pipelines.
- RabbitMQ – Employed as a reliable message broker between microservices, ensuring asynchronous communication.
- Redis – Used for in-memory caching and lightweight pub/sub messaging to boost application performance.
- MySQL / PostgreSQL – Preferred for relational data models and applications that require transactional integrity and strong consistency.
- MongoDB – Used for flexible schema design and fast iterations in NoSQL-based applications.
- JavaScript / React.js / Node.js – I build responsive front-end interfaces with React and scalable server-side APIs with Node.js for full-stack applications.
- Core Java / Spring Boot / Hibernate / Spring Security / Maven – These are my core tools for building robust, secure, and maintainable backend services. I use Maven for project build and dependency management.
- CI/CD – I integrate pipelines using Jenkins, GitHub Actions, or Bitbucket Pipelines to automate testing, building, and deployment workflows.
- Terraform – I use Infrastructure as Code (IaC) to provision, scale, and manage cloud infrastructure reliably and reproducibly.
- Kubernetes – My preferred platform for orchestrating microservices, managing container lifecycles, and scaling applications in production.