Togaf, Anthropic Claude, AI Architecture, data management frameworks, Agentic AI architectures, semantic layers, knowledge graphs, multi-agent orchestration, embedding models, vector databases, Responsible AI frameworks, prompt engineering, LLM SLM selection, Google Vertex AI, Azure AI, cloud AI platforms, OpenAI, Amazon Bedrock, ontologies, RAG architectures

Apis, Containers, Gcp, Distributed Systems, Azure, Python, AWS, Prompt engineering, LLMs, Vector databases, GenAI systems, AI-powered products, Agent frameworks, RAG architectures

Tensorflow, cloud, Pytorch, Gcp, Docker, Azure, Python, AWS, GenAI, fine-tuning, data pipelines, LLMs, K8S, MLflow, SageMaker, Kubeflow, RAG, vector DBs, MLOps tools, ML frameworks

resiliency , Java, Orchestration, Apis, Logging, Automated Testing, Microservices, Devops, Scalability, Distributed Systems, System Design, Python, RAG LLM integration, AI GenAI applications, CI CD, Monitoring, prompt engineering, Evaluation, Security, data systems, reliability engineering, guardrails, observability

.NET, Ml, Microservices, Nlp, Azure, Ocr, Generative AI, LLMs, Ai, cloud-native design, RAG, Azure AI ecosystem

vectorization , Tensorflow, Gcp, Pytorch, MLops, Docker, Azure, Kubernetes, Python, AWS, Data lakes, Generative AI, Transfer Learning, LLMs, Azure OpenAI Service, Fine-Tuning, Embedding models, Google Vertex AI, RAG, Data pipelines, Amazon Bedrock, Transformer architectures

Typescript, Python, AWS, Google Cloud, Azure, orchestration patterns, multi-agent architectures, AI governance guardrails, microservices-based architectures, Agentic AI systems, AI services, model evaluation, responsible AI practices, CrewAI, Generative AI, LLMs, RAG vector databases, Microsoft Foundry, cloud platforms, Monitoring, agent frameworks, Langgraph, performance optimization, context engineering techniques, Google ADK

Machine Learning Algorithms, Tensorflow, Pytorch, Natural Language Processing, LSTMs, Generative AI, Deep learning techniques, RNNs, Cloud platforms, Amazon SageMaker, CNNs, Transformers, NLP techniques, Amazon Bedrock, AI architectures, AI ML frameworks

Keras, Tensorflow, Devops, MLops, AWS, Pytorch, Kubernetes, Python, Azure, Gcp, Docker, PostgreSQL, MongoDB, Javascript, CI CD pipelines, OpenAI, Claude, Gemini, ElevenLabs, Scikit-learn, Grok, Ollama, Perplexity