Java, Distributed Systems, Python, knowledge graphs, AI governance frameworks, infrastructure design for scalability and security, secure multi-tenancy, Go, testing and observability, autonomous agent frameworks, AI orchestration models, cloud-native platforms

Generative AI, Prompt engineering, Agentic AI frameworks, Vector databases, Enterprise data integration, AI observability, LLM orchestration, AI platform engineering

Machine Learning, Distributed Systems, Cloudformation, Deep Learning, Tensorflow, Pytorch, MLops, Terraform, Data Architecture, Python, AWS, Generative AI, AWS Bedrock, AWS CDK, MLflow, AWS SageMaker

Windows AI platform, AI Software stack, Windows ML MCDM for AI compute, Quantization techniques, optimizing models for performance and accuracy, LLM architectures, Generative AI models, AI application development

Apis, concurrency, Kafka, REST, Gcp, Docker, Distributed Systems, Elasticsearch, Postgres, MongoDB, Azure, Kubernetes, Python, AWS, AI assisted development tools, CI CD, GRPC, async processing, microservices architecture

workflow engines , Google Cloud Platform, Distributed Systems, Python, backend system design, AI assisted engineering, frontend architecture, stateful execution platforms, microservices architecture, event-driven platforms, routing systems, Go lang

Perl, Python, Tcl, primetime, RTL-to-GDS recipes, Physical Design, Fusion Compiler, Synopsys Fusion Design Platform, IC Compiler II, AI ML optimization tools, Synopsys DSO.ai

Python, Pytorch, Tensorflow, Jax, Large Language Models, Generative AI

stream processing , AWS, Spring Boot, Java, Gcp, Restful Apis, SCIM, resilient architectures, Caching, SOAP APIs