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

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

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

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

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

solution architecture, GenAI-powered systems, multi-agent orchestration frameworks, vector-based retrieval

Sqlalchemy, API security, PostgreSQL, Rabbitmq, Django, Sqlite, Flask, FastAPI, Python, Django ORM, LangChain, AI ML development, document extraction, langFuse, large-scale RAG systems, Cloud Data Warehouses, OCR pipelines, langSmith, RAG methodologies, LangGraph, Java Spring Boot, fine-tuning 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