.NET, secure coding , Vulnerability Management, SQL Server, Microservices, React, Typescript, DevSecOps, Docker, Rest Apis, Azure, Kubernetes, dependency scanning

.NET, secure coding , Vulnerability Management, SQL Server, Microservices, React, Typescript, DevSecOps, Docker, Rest Apis, Azure, Kubernetes, dependency scanning

.NET, Java, Dynamodb, Node.js, Angular, Devops, React, Azure, Kubernetes, AWS, Go, CosmosDB

Elk, Prometheus, Kafka, Grafana, Nosql, Docker, Terraform, Celery, Python, Node.js, Sql, Redis, Django, Jenkins, FastAPI, Kubernetes, Vector Databases, GitHub Actions, RAG pipelines, Agentic Frameworks, Agentic AI LLM Technologies, GitLab CI, CI CD pipelines, LLM Integration Governance, WebSocket APIs

triton , Itk, Machine Learning, Tensorflow, Pytorch, Docker, Dicom, AWS, Natural Language Processing, Deep Learning, Azure ML, Gcp, Opencv, Kubernetes, AI Agents, CNNs, Large Language Models, nnU-Net, Generative AI, Monai, U-Net variants, NIfTI, Agentic AI, Transformers

Sql, Cosmos DB, Rabbitmq, Java, Rust, Kafka, AWS, MySQL, Cassandra, Kubernetes, Nosql, Azure, Sqs, Gcp, Docker, PostgreSQL, MongoDB, Go, Service Mesh, Istio, Event Sourcing, Linkerd, CQRS

Microservices, Spring, Json, AWS, Node.js, Xml, Kubernetes, Docker, Nlp, Java 8 or higher, AI-powered developer tools, HTTP REST, Vert.x, Cloud-native DevOps, Infrastructure-as-code, Generative AI

.NET, systems architecture , Sql, Bitbucket, Aws Services, Jira, Automation Tools, Docker, Git, Automation Frameworks, Ephemeral environments, Active Coding practices, Distributed application design, DevOps practices, HTTP REST APIs, Playwright PW, Shift-Left testing

Logging, Incident Response, Cloudformation, Vault, Kubernetes, Docker, Terraform, GitHub Enterprise, GitHub Actions, Monitoring, Secrets Management, CodeQL, Observability

Kafka, Automated Testing, ELT, Gcp, Spark, Data Governance, Software Engineering, Data Integration, Azure, Kubernetes, AWS, Etl, Data Processing, event-driven architectures, microservices architectures, streaming technologies, large-scale data systems, cloud-native architectures, DevOps principles, observability