DevOps methodologies, Data science principles, AI ML technologies and frameworks, Software testing methodologies, Automated testing tools and frameworks, Cloud-based AI ML platforms, Performance testing of AI ML applications

Orchestration, Machine Learning, Power Bi, PowerShell, Storage, Sql, Distributed Systems, Windbg, Python, remediation workflows, KQL, ETW, anomaly detection, AI-assisted analysis, Kusto, Windows Performance Analyzer, Azure services, experimentation, Statistics, monitoring systems, Deployment

Microservices, Reactjs, Distributed Systems, Knowledge systems, Performance and scalability optimization, Prompt engineering, DevOps practices, Retrieval-based systems, Agent assist automation, RAG, CI/CD, Java Spring Boot, LLM-based applications

distributed caching , Java, RDBMS, Python, NoSQL DBs

data engineering , Java, C, C++, Javascript, Python, Machine Learning, Distributed Systems, Data Modeling, Artificial Intelligence, Data Architecture, Data Security, Property-Graph Models, Statistical Analytics, Semantic Architectures

Java, PostgreSQL, Scala, Spring Boot, Kafka, Emr, JIRA, Jenkins, Git, Docker, Reactjs, Spark, Apache Camel, MongoDB, Couchbase, Kubernetes, AWS, DocumentDB, Automated deployment, EKS, Harness, CI/CD pipelines