triton , Pytorch, MLops, Distributed Systems, Kubernetes, Python, Cuda, TensorRT, Nvidia Dynamo

Algorithms, Kafka, Hipaa, Tensorflow, React, Pytorch, Docker, data structures, Python, AWS, Hadoop, Node.js, Django, Gcp, Hl7, Spark, Azure, Kubernetes, Airflow, software engineering best practices, scikit-learn, generative AI technologies, FHIR, Vector Databases, LLM’s, RAG architectures, transfer learning, prompt engineering, healthcare data standards

Python, LangChain, vector search, LLMs, FAISS, RAG, Transformers, Pinecone

ECS, Kubernetes, Python, pgvector, RAG systems, Qdrant, Vector databases, Fast API, LangGraph, SageMaker, ECR, AWS stack, Conversational AI, DSPy, ML systems, Amazon Bedrock

Nosql, Machine Learning, Hive, Spark, Databricks, Python, Sql, AWS, Airflow, Generative AI

Numpy, Pandas, Pytorch, Docker, Python, AWS, Airflow, agentic design patterns, scikit-learn, ML data libraries, MLflow, prompt design, LLM core concepts