Distributed Systems, Python, Kubernetes, Golang, TensorRT-LLM, llm-d, AI Inference, SGLang, vLLM, GRPC

Ml, Data Factory, Sql, Azure ML, App Services, Databricks, Azure, Python, Foundry, Ai, Generative-AI, Claude, Llm, OpenAI, Gemini

Python, MLops, AWS Bedrock, pgvector, tool use, Pinecone, Azure OpenAI, LangSmith, LangGraph, Embeddings, GCP Vertex AI, LLM orchestration, LangChain, fine-tuning, model deployment, Monitoring, agent frameworks, SageMaker, vector stores, RAG, drift detection, Weaviate, Eval harnesses, function calling, LLM observability

Apis, Gcp, Python, CrewAI, LangGraph, multi-agent systems, ADK, vector databases, AI applications

telemetry , containerization , SAP, Veeva, Cloud Infrastructure, Microservices, Typescript, Netsuite, Python, Logging, Java, Apis, Data Management, Integrations, Business Rules, ERP Integrations, Workflow Orchestration, Responsible AI Practices, Distributed Services, Salesforce, Real-time Processing, Production Monitoring Frameworks, SaaS Platforms, Enterprise Integrations, Observability Tooling

telemetry , Aws Lambda, Apis, Graphql, Logging, Data Modeling, Sql, Typescript, REST, Javascript, Containers, Python, schema alignment, Model Context Programming, Data Mapping, Google Cloud Functions, graph data structures, webhooks

Apis, Hipaa, Emr, Ehr, Typescript, Hl7, Cloud Infrastructure, Python, ICD-10, AI LLM-powered systems, FHIR, prompt engineering, PHI, Relational Databases, evaluation frameworks, RAG pipelines, EDI 270, X12 claims formats

Ml, MLops, Python, Sql, GenAI, Infrastructure as Code, RAG, Applied AI, Cloud DevSecOps, Observability

Software Engineering, Rest Apis, systems thinking, webhooks, software design fundamentals, evaluation pipelines, integrating LLMs into production systems, agent orchestration, building integrations across heterogeneous systems, prompt engineering, ETL pipelines

snowflake , Sql, Databricks, AWS, Java, Python, Azure, Apache Spark, Scala, Kafka, Delta Lake, Oracle AI Data Platform