data engineering , Kafka, Python, AWS, Apis, Sql, MLops, Azure, RAG embeddings, anomaly detection, CI CD, LangGraph, Evaluation, event streaming architectures, structured outputs, observability, model monitoring, tool function calling, LLMs, LLMOps, SHAP feature attribution, retrieval evaluation, vector hybrid search, Classification, Semantic Kernel, prompt engineering, agentic workflows, Regression, Applied AI ML, gradient-boosting techniques, LlamaIndex

Tensorflow, Data Science, Pytorch, Python, R, Machine learning frameworks, Cloud platforms

Python, Sql, Production ML, Embeddings

BigQuery, Gcp, FastAPI, LangChain, Async Python patterns, pgvector, Claude, Pinecone, LangSmith, LangGraph, OpenAI APIs, Vertex AI, AI LLM Engineering, vector DBs, Ragas, Gemini, Weaviate

Cloud Computing, Machine Learning, Data Visualization, Big Data, Python, Sql, Statistical Analysis, Deep Learning

Java, Solr, Nlp, Elasticsearch, Machine Learning, Rest Apis, Python, Server-side events, RAG systems, Prompt writing, MCP servers, Vector databases, OpenSearch, LLM engineering, semantic search, Security best practices, messaging systems, Multi-agent systems, LLM models APIs, Event-driven architectures

Sql, Nosql, Tensorflow, Numpy, Nlp, Computer Vision, Pandas, Gcp, Pytorch, Keras, Azure, Python, AWS, generative AI, Scikit-learn, ML Ops

Java, Machine Learning, Solr, Nlp, Elasticsearch, Rest Apis, Python, RAG systems, MCP servers, Prompt writing, Vector databases, OpenSearch, LLM engineering, semantic search, Security best practices, messaging systems, Multi-agent systems, LLM models APIs, Event-driven architectures