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

Numpy, Pandas, Gcp, FastAPI, Azure, Python, AWS, GenAI, embeddings, LLMs, prompt engineering, RAG

Databricks, FastAPI, Python, AWS, LangChain, LLMs, Azure AI Foundry, Semantic Kernel, LangGraph, Transformers

large language models (LLMs), solution architecture, multi-agent orchestration frameworks, vector-based retrieval

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

Cosmos DB, SQL Server, Github, Logging, Ocr, FastAPI, Kubernetes, Python, Docker, PostgreSQL, Microsoft Azure, Azure DevOps, agentic systems, Responsible AI, AI-enabled automation, document intelligence, Monitoring, observability

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

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