data engineering , Sql, Databricks, Python, Data Analytics, Predictive Pipelines, AI Automation, Data Privacy Principles

Azure Databricks, Python, Azure AI Foundry, LLMs, Prompt Engineering

Nosql, Sql, Node.js, Streaming, Python, Cloud, Machine Learning, CI CD, MCP Model Context Protocol, LLM Generative AI

Microservices, Tensorflow, Pytorch, Terraform, Python, AWS, Rust, Cloudformation, Devops, Jenkins, Git, Gcp, FastAPI, Azure, Kubernetes, machine learning frameworks, Hugging Face Transformers, Go, MLflow, TF Serving, vector database management, GitHub Actions, TorchServe, LangChain, big data processing using Spark, vLLM, test-driven development, model quantization techniques, CI CD pipelines

Tensorflow, Pytorch, Docker, Oracle, Python, AWS, Sql, Cuda, Git, Gcp, Neo4j, Keras, Azure, AWS Bedrock, NVIDIA, Google Gemini, Transformer architecture, Mistral, Vertex AI, Diffusion models, Agentic workflows, Graph DBs, GANs, LLaMA 3.0, Copilot, OpenAI GPT-3.5

Java, Golang, Google Cloud Platform, Kafka, Spark, Azure, Kubernetes, Python, AWS, Airflow, Flink, dbt, MLFlow, Large Language Models

Sql, Python, Git, MLflow

Sql, Devops, MLops, Metadata Management, Performance Tuning, Python, Delta Lake, Cloud-native engineering, Infrastructure-as-Code, Cost management, Predictive AI, Data observability, AWS Databricks

snowflake , Microservices, Sql, Gcp, Docker, Azure, Python, Kubernetes, AWS, LangChain, embeddings, RAG function tool calling orchestration, Vector databases, retrieval evaluation, CI CD, prompt engineering, LangGraph, LLM agentic solutions, dbt, Cloud-native architecture, LlamaIndex, observability