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

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

, Sql, Deep Learning, AWS, Pytorch, Data Manipulation, Python, Azure, Gcp, Big Data, Speech NLP, Statistics, experimentation, Modeling, Generative AI

Jax, Deep Learning, Tensorflow, Pytorch, Gcp, Docker, Azure, Kubernetes, Python, Computer Vision, AWS, GANs, Generative AI, Image processing techniques, CNNs, Inpainting methods, VAEs, Image-to-image generation, Diffusion models, Deploying Vision models on edge devices