Software Development, workflow for analysis, large-scale distributed systems, GenAI coding, Ai, Operational Excellence

.NET, PostgreSQL, SQL Server, Redis, Git, Docker, Distributed Systems, Azure, Kubernetes, AWS, tool function calling, context and memory management, LLMs, microservices architectures, autonomous workflow execution, agentic AI architectures, NoSQL data stores, AI workflow orchestration, ASP.NET Core, RESTful API design

Databases, Java, Distributed Systems, Incident Management, Microservices, Production Systems, retrieval, AI agentic systems, observability

containerization , Java, Golang, Distributed Systems, Python, next-generation databases, orchestration using Kubernetes, developer tools, DevOps practices, cloud-native applications, CI CD, event-driven programming paradigms, Managed Services, infrastructure as code

Distributed Systems, Microservices, Python, Typescript, React, LLM orchestration, RAG pipelines, Next.js, generative AI features

.NET, Apache Airflow, Java, Distributed Systems, Microservices, DevSecOps, Automated Testing, Typescript, AWS, Cloudformation, Kubernetes, Python, React Js, Docker, Terraform, Apis, Go, Next JS, AI-powered engineering tools, Agile delivery practices, Infrastructure as Code, Event-driven architectures, Observability

.Net Core, Java, Kafka, Grafana, Microservices, Jmeter, Api Automation, Python, Performance Testing Tools, AI tools, distributed systems testing, k6, Locust, CI CD pipelines, event-driven architecture

Java, Scala, Devops, Streaming, Distributed Systems, Python, query compute engines, Data Processing, SRE, Go, cloud platforms, storage lakehouse tech, security governance

Cassandra, PostgreSQL, Distributed Systems, MySQL, AWS, Java, Rust, Dynamodb, Gcp, MongoDB, Azure, data pipelines, streaming systems, Benchmarking, Go, Data Storage, Capacity Planning, retrieval, advanced algorithms, SQL databases, observability, ClickHouse, NoSQL databases, event-driven architectures, scalable data structures, Performance Analysis