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

FastAPI, LangChain, embedding pipelines, idempotency, message queues, Anthropic APIs, distributed systems patterns, Pinecone, prompt engineering, AutoGen, LangGraph, Python 3.10, asyncio, FAISS, Vertex Matching Engine, structured logging, event-driven architecture

Tensorflow, Numpy, Git, Pandas, Pytorch, MLops, Docker, Databricks, Azure, Python, AWS, LangChain, Transformers, LLMs, scikit-learn, Hugging Face, retrieval-augmented generation, MLflow, CI CD

snowflake , Machine Learning, Artificial Intelligence, Natural Language Processing, Sql, Tensorflow, MLops, Pytorch, Databricks, Azure, Python, AWS, Scikit-learn

Distributed Systems, LangChain, LangGraph, ML platforms, policy enforcement, cost controls, embeddings pipelines, LLMs, agent orchestration frameworks, RAG retrieval, observability

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

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

Tensorflow, BigQuery, Machine Learning, Jax, Google Cloud Platform, MLops, DataFlow, Python, Scikit-learn, Ai, Beam

Memory Management, Python, AWS, Java, Scala, Apache Spark, Gcp, MLops, Databricks, Azure, model training, tool integrations, vector embeddings, retrieval systems, NLP techniques, semantic search, model monitoring, LLMOps, retraining strategies, drift detection, feature engineering, ML frameworks, prompt design, context orchestration