Distributed Systems, Python, Java, Apis, Testing, Identity Management, open-source tools, policy enforcement, Go, graph-based memory systems, execution chains, autonomous agent frameworks, cognitive architectures, vector DBs, Access Control, cloud-native platforms, AI architectures, observability, Infrastructure Design, CrewAI, LangChain, LLMs, self-reflection, AutoGen, AI orchestration models, agent memory planning loops, RL, SDKs

S3, Microservices, Lambda, Terraform, Api Gateway, Cloudformation, Dynamodb, Cloudwatch, ECS, Iam, Rest Apis, AI orchestration frameworks, Infrastructure as Code, AWS cloud services, vector databases, OpenSearch, AI services, semantic search, Generative AI, Step Functions, embedding models, EKS, prompt optimization, Amazon Bedrock

Data Architecture, Encryption, Typescript, Javascript, Python, AWS, Gcp, Data Privacy, Azure, Meta, metadata standards, RAG and knowledge systems, Responsible AI frameworks, Security, bias mitigation, AI reference architectures, cloud-native systems, Google, explainability, workflow orchestration, fairness, taxonomies, Anthropic, secure connectivity, AI architecture, Compliance, semantic caching, CI CD pipelines, end-to-end observability, OpenAI, RAG multi-agent systems

Data Architecture, Typescript, Encryption, Javascript, Python, AWS, Gcp, Data Privacy, Azure, Meta, metadata standards, Responsible AI frameworks, RAG and knowledge systems, Security, bias mitigation, AI reference architectures, Google, cloud-native systems, explainability, workflow orchestration, fairness, taxonomies, Anthropic, secure connectivity, AI architecture, Compliance, semantic caching, CI CD pipelines, end-to-end observability, OpenAI, RAG multi-agent systems

Java, Typescript, Docker, Apache Kafka, Python, Kubernetes, AutoGen, LangGraph, LLM tuning

snowflake , BigQuery, Sql, Deep Learning, Tensorflow, Azure ML, Pytorch, Docker, XGBoost, Spark, Databricks, Python, Kubernetes, scikit-learn, Custom Transformer Architecture, LightGBM, MLflow, SageMaker, DVC, Vertex AI, HuggingFace Transformers

Kafka, Tensorflow, Pytorch, Python, Kubernetes, embedding pipelines, feature stores, Generative AI, data pipelines, scikit-learn, RAG systems, LLMOps, MLflow, vector databases, event streaming systems, SageMaker, Agentic AI, Kubeflow, model lifecycle management, ML frameworks, fine-tuning techniques

Machine Learning, Microservices, Tensorflow, Data Science, Nlp, Pytorch, Docker, Python, AWS, Gcp, MLops, Databricks, Azure, Kubernetes, Computer Vision, AWS Bedrock, MLflow, Scikit-Learn, LangGraph, Vector Databases, Vertex AI, model lifecycle management, LangChain, Generative AI, AI governance frameworks, LLMOps, OpenAI, distributed architectures

Machine Learning, Apis, Neural Networks, Dynamo Db, Python Programming, Prompt tuning, AWS Bedrock, Prompt engineering, Similarity search using vector databases, Embedding generation, Llm, Output evaluation, Agentic AI, Claude LLMs, Document ingestion

Machine Learning, Azure Data Factory, Tensorflow, Azure Machine Learning, MLops, Azure Databricks, Pytorch, Kubernetes, Python, Azure Synapse, Docker, Azure DevOps, MLflow, Microsoft Fabric, Scikit-learn, Cognitive Services, LLMOps, Azure OpenAI, Azure AI