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

.Net Core, REST, Graphql, Docker, Agile Development, Azure, Kubernetes, Angular, Infrastructure as code, AI coding tools

.Net Core, Web Api, Amazon Web Services, Machine Learning, SQL Server, Jenkins, React, Nlp, MS SQL, Docker, Terraform, Elasticsearch, Elastic Search, Entity Framework, MongoDB, Restful Apis, Azure, Kubernetes, LLMs, Microservices architecture, GitHub Actions

Java, Nosql, C, Azure, Python, Sql, AWS

.NET, .Net Core, Docker, Distributed Systems, Rest Apis, Azure, Kubernetes, AWS, Observability platforms, Infrastructure as Code, AI-based developer productivity solutions, Microservices architecture

.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

Jenkins, Git, REST, Spring Framework, Oracle Sql, Maven, Python, Angular Js, Java 1.7 or higher

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

model selection , Distributed Systems, Cloud Infrastructure, rollback experimentation, automated regression frameworks, fallback strategies, unconstrained interaction models, offline test sets, live traffic sampling, real-time performance monitoring, caching strategies, AI capability routing and orchestration, model serving infrastructure, ML inference infrastructure, intent orchestration, model and prompt release gating, latency optimization, Speech Processing, evaluation and quality assurance infrastructure, observability tooling, large-scale AI platform engineering, intelligent query classification