agile environment , Scalability, Gen AI, Architectural Design, Efficiency, Extensibility, Large-scale distributed systems

S3, Cloudformation, Dynamodb, Node.js, Sql, Typescript, Terraform, Docker, Distributed Systems, AWS, Infrastructure as Code, AWS CDK, AI fundamentals, AI safety governance, Serverless applications, EventBridge, Aurora

Java, Hadoop, Aws Services, Big Data Technologies, API design, Microservices, Docker, Terraform, Distributed Systems, Spark, Kubernetes, Python, data pipelines, agentic AI-enabled development practices, CI CD pipelines, data visualisation tools, data processing frameworks

model selection , Distributed Systems, Cloud Infrastructure, rollback experimentation, automated regression frameworks, fallback strategies, unconstrained interaction models, offline test sets, real-time performance monitoring, live traffic sampling, model serving infrastructure, caching strategies, AI capability routing and orchestration, 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

model selection , Distributed Systems, Cloud Infrastructure, rollback experimentation, automated regression frameworks, fallback strategies, unconstrained interaction models, offline test sets, real-time performance monitoring, live traffic sampling, model serving infrastructure, caching strategies, AI capability routing and orchestration, 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

Ml, Cloud Infrastructure, distributed databases, large-scale distributed systems, Ai, high-throughput APIs, real-time data processing, architectural strategy

model selection , Distributed Systems, Cloud Infrastructure, rollback experimentation, automated regression frameworks, fallback strategies, unconstrained interaction models, offline test sets, real-time performance monitoring, live traffic sampling, model serving infrastructure, caching strategies, AI capability routing and orchestration, 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

Golang, Distributed Systems, Postgres, Python, data lakes, K8S

Sql, Distributed Systems, Java, Rest Apis, AWS, Kubernetes, Python, Nosql, Azure, Docker, Gcp, Multi-threading and concurrency, Event-driven systems, Microservices architecture, Large-scale data processing, CI CD pipelines, Observability tools

Distributed Systems, Automated validation, Kubernetes-based microservices, High availability design patterns, Services Oriented Architecture, Agile environments