BigQuery, PostgreSQL, Dataproc, Redis, Nosql, MLops, Docker, Spark, Apache Beam, DataFlow, Kubernetes, LangChain, LangGraph, OpenTelemetry

Java, Nlp, Linux, MySQL, Groovy, Prompt engineering, Conversational AI, NLU

software engineering practices , Apis, MLops, Microservices, Python, DataOps, LLMOps, architecture patterns, prompt engineering, cloud-native development, AI development frameworks, agentic AI architectures, knowledge and context graphs, semantic models, modern AI methodologies, cloud environments

Java, Git, Machine Learning, Gcp, MLops, Docker, Pyspark, Azure, Python, Sql, AWS

Api Management, Uipath, Aws Services, Power Automate, Functions, Rpa Tools, Lambda, Docker, Api Gateway, AWS Bedrock, AKS, Azure OpenAI, AI automation architectures, Azure services, Microsoft Power Platform, CI CD pipelines, container orchestration

Nlp, Distributed Systems, Cursor, GitHub Copilot, LLMs

Nlp, Distributed Systems, Cursor, GitHub Copilot, LLMs

Microservices, Tensorflow, Pytorch, Docker, Flask, Python, AWS, Apis, Gcp, FastAPI, Azure, Kubernetes, vector search, embeddings, AI orchestration frameworks, Hugging Face, MLflow, CI CD, Azure OpenAI, event-driven architecture, LangChain, LLMs, Scikit-learn, Anthropic, prompt engineering, RAG, OpenAI, LlamaIndex

Machine Learning, Kafka, Deep Learning, Tensorflow, Pytorch, Docker, Spark, Kubernetes, Python, ClickHouse, scikit-learn, MLflow, Flink, LLM APIs, Prompt Engineering, RAG Architectures

Tensorflow, MLops, AWS, Pytorch, Python, Anthropic, large language models, OpenAI, vector databases, Weaviate, Hugging Face Transformers, Cohere, data engineering for ML model evaluation, cloud-native environments, Pinecone, FAISS, prompt engineering