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

Python, Sql, Production ML, Embeddings

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

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

Tensorflow, Pytorch, Azure, Google Cloud, AWS, Deep Learning, Generative AI, Python Programming Language

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

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

Tensorflow, Pytorch, Gcp, MLops, Docker, Azure, Kubernetes, Python, AWS, LangChain, Generative AI, LLaMA, Scikit-learn, Pinecone, GPT, FAISS, LoRA, Weaviate, QLoRA, LlamaIndex, Large Language Models

Python