Strong hands-on experience with several of the following technologies and practices:

- Java and Spring Boot
- RESTful APIs
- Event-driven architecture and Apache Kafka
- Microservices and distributed systems
- Oracle, SQL Server , PostgreSQL, and MongoDB
- Cloud platforms (Azure, AWS, or Google Cloud)
- Docker and Kubernetes
- GitHub Enterprise and up-to-date source control practices
- CI/CD pipelines and DevSecOps
- Infrastructure as Code

AI Engineering Experience

Experience designing, implementing, or adopting enterprise AI capabilities within the software development lifecycle, including:
- AI-enabled software engineering platforms
- Large Language Models (LLMs) supporting software development
- AI-assisted requirements analysis, solution design, code generation, testing, and documentation
- Development of reusable AI capabilities such as skills, plugins, prompts, workflows, and engineering guardrails
- Governance frameworks for responsible AI adoption within enterprise engineering organizations

📌 Java and AI Lead (Toronto)
🏢 Viva Tech Solutions
📍 Toronto