Github, Servicenow, Perforce, Windows Server, ADO, Terraform, Gitlab, Agile Methodologies, Jira, Itil, Datadog, Ubuntu, Cloud Architecture, Ansible, Kubernetes, Logicmonitor, core networking protocols, infrastructure automation, platform operations, firewall concepts, Linux RHEL, CI CD frameworks, Source Control, load-balancing principles, observability stacks, cloud-native operations, infrastructure-as-code, hybrid networking, DevOps principles

Grafana, Apm, Splunk, automation, Dynatrace, Cspo, metrics, operational resilience, traces, SLO practices, standardized onboarding, Platform Migration, PSPO, platform engineering, Monitoring, self-service, operational dashboards, synthetic monitoring, logs, reliability engineering, SRE, Open Telemetry, Production Support, alerting, technology service catalogs, cloud transformation, observability, modernization programs, SLI

bedrock , Ml, Java, S3, RDS, Graphql, Dynamodb, Sql, Nosql, Lambda, REST, MLops, ECS, Python, AWS, API-first design, Generative AI, event-driven architectures, EKS, Aurora, SageMaker, AI Engineering

containerization , Python, Apis, MLops, Databricks, Kubernetes, embeddings, AI orchestration frameworks, vector databases, Azure OpenAI, CI CD, AWS AI ML services, semantic search, Large Language Models, model monitoring, RAG agentic AI systems, LLMOps, Anthropic, governance frameworks, prompt engineering, microservices architectures, Azure AI Services, knowledge retrieval, OpenAI, Gemini

Apis, Devops, Gcp, Azure, AWS, Orchestration, Microservices, Automated Testing, Distributed Systems, Java Spring Boot, AI-powered developer tools, Enterprise backend technologies, Generative AI, LLMs, Cloud-native architectures, Full-stack software engineering, Enterprise SaaS product development, AI GenAI technologies, Modern frontend technologies, Enterprise automation platforms, CI/CD, AI agents, Workflow automation, AI-assisted software development

Ms Azure, Gcp, AWS, Microsoft.Net, open-source stack

.NET, domain driven design , Java, DevSecOps, Wso2, Integrations, AWS, Azure, Ai, GenAI, Microservices architecture, cloud-native architectures, Mules

Azure, Pyspark, Sql, Recommender Systems, Gcp, Spark, Python, AWS, Airflow, embeddings, Generative AI, real-time personalization, LLMs, AI ML methods, dbt