Machine Learning, Artificial Intelligence, Continuous Delivery, Kafka, Automation, Software Development Life Cycle, MLops, Docker, Postgres, Kubernetes, Python, AWS, Pipelines, Relational Databases, AI-assisted software development tools

Java, PostgreSQL, Spring Boot, Angular, Rabbitmq, Git, React, Docker, Kafka, Rest Apis, Oracle, Kubernetes, CI CD

PostgreSQL, Kafka, Spring Boot, Angular, Microservices, Nosql, React, Docker, Terraform, MySQL, Openshift, AWS, Java, Hibernate, Full Stack, Sql, Rabbitmq, Git, Gcp, Ansible, MongoDB, Azure, Kubernetes, Infrastructure as Code

Machine Learning, Artificial Intelligence, Continuous Delivery, Kafka, Automation, Software Development Life Cycle, MLops, Docker, Postgres, Kubernetes, Python, AWS, Pipelines, Relational Databases, EKS

.NET, secure coding , PostgreSQL, Automated Testing, Microservices, Docker, Distributed Systems, AWS, SQL Server, Git, Azure, Kubernetes, caching strategies, event-driven workflows, structured outputs, Relational Databases, agentic AI patterns, observability, tool function calling, LLMs, cloud environments, Production Support, integration services, NoSQL data stores, AI workflow orchestration, ASP.NET Core, context management, RESTful API design, performance optimization, workflow state

Servicenow, Jira, Devops, AWS ECS, Agile Methodologies, Python, LLM orchestration layers, Confluence API integrations, cloud-native deployments, vector databases, CI CD, data sensitivity considerations, AI-assisted software development tools, MCP-based tool integrations, RAG pipelines, application resiliency patterns

Apis, Sql, Salesforce Marketing Cloud, JSON payloads, Marketing Cloud Engagement, Segmentation, Identity Resolution, Mobile Push, SSJS, AMP script, Transactional Messaging, System Integrations, Sms, data models