Java, Machine Learning Algorithms, Python, Cloud-based AI Services, Data Preprocessing Techniques

data engineering , Machine Learning, Hipaa, Tensorflow, Pytorch, Docker, Python, AWS, Java, Hadoop, Scala, Sql, Deep Learning, Gcp, Hl7, Spark, Azure, Kubernetes, GitOps, RNNs, FHIR, CNNs, Generative Models, Real-Time Analytics, R, Scikit-learn, reinforcement learning, Transformers

Data Science, Python, LangGraph, Statistical Modeling, Agentic Workflows using LangChain-based agents, Transformer architecture, Fine-tuning techniques for LLMs

Java, Machine Learning, Cassandra, PostgreSQL, Dynamodb, Kafka, Sql, Redis, Nosql, Tensorflow, Pytorch, Docker, MySQL, Spark, Python, Kubernetes, AWS, Go

Tensorflow, Gcp, Pytorch, Docker, Azure, Python, AWS, embeddings, scikit-learn, Hugging Face, vector databases, prompt engineering, LLM frameworks, OpenAI

Sql, Azure ML, Python, LangChain, Cloud Stack, AWS Bedrock, Pinecone, Azure OpenAI, Azure AI Foundry, Retrieval-Augmented Generation, Vector Databases, RAG Frameworks, Agentic AI, GCP Vertex AI, AI Application Development, Milvus, Azure AI Search, LlamaIndex, GenAI Expertise

Spark, Tensorflow, Pytorch, Cloudformation, Gcp, Terraform, Git, Microservices, AWS, FastAPI, Kubernetes, Python, Azure, Jenkins, vLLM, machine learning frameworks, LangChain, RAG, TorchServe, TF Serving, VectorDBs, GitHub Actions, MLflow, Hugging Face Transformers, model quantization techniques