Pytest, concurrency, API design, Data Modeling, Python, LangGraph, Langfuse, error handling, LangSmith, observability

Natural Language Processing (NLP), Large Language Models (LLMs), Full Stack development, AI orchestration frameworks, Generative AI, Embeddings, Llama Index, Vector databases, Lang Chain, AI APIs, RAG architectures

data engineering , Devops, Machine Learning, MLops, Artificial Intelligence, Security Compliance, Api Development, Python Programming, Prompt Engineering, Data Pipeline Development, Risk Management

Machine Learning, Git, Docker, Pyspark, Python, Sql, DataFrame APIs

Docker, FastAPI, Python, Kubernetes, AWS, EKS

Phoenix, API design, CDK, Typescript, Terraform, Elasticsearch, Python, AWS, Java, Gcp, DeepEval, pgvector, Strands, Go, Pinecone, LangSmith, OpenSearch, LangGraph, OAuth 2.0, Langfuse, Vertex AI, Ragas, CrewAI, Semantic Kernel, Braintrust, Google ADK, Weaviate, LlamaIndex, OIDC

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

Tensorflow, Numpy, Pytorch, Docker, XGBoost, Python, Pandas, MLops, Azure Machine Learning, scikit-learn, vector databases, Azure AI Foundry, LangGraph, Azure AI Search, Application Insights, LangChain, experiment tracking, RAG architecture, LLMOps, Azure OpenAI Service, LightGBM, embedding models, Semantic Kernel, CI/CD pipelines, Azure AI Content Safety, Azure App Service Functions

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