Java, BigQuery, Hadoop, Scala, Tensorflow, Cloud Storage, Numpy, Pandas, Pytorch, Docker, XGBoost, Spark, FastAPI, Kubernetes, Python, Airflow, GKE, Polars, Scikit-learn, Go, Model Garden, Cloud Run, Vertex AI

Machine Learning Algorithms, Python Programming, Prompt engineering, Data pipelines, Feature engineering

Apis, Sql, Tensorflow, Numpy, Nlp, Pytorch, Pandas, Docker, Azure, Python, AWS, scikit-learn, RAG with embeddings, vector databases, responsible AI, CI CD pipelines, Transformers, evaluation monitoring, model serving

AI ML, Pytorch, Sql, Nlp, aws, Model Deployment

Ml, Apis, PostgreSQL, FastAPI, Python, CrewAI, multi-agent frameworks, fine-tuning, Langchain, RAG systems, LLMs, Vector databases, agent orchestration patterns, Ai, cloud-based AI services, Anthropic, data processing libraries, prompt engineering, Google AI services, data modeling for AI workloads, asyncio, OpenAI, LlamaIndex

Power Automate, Power Platform, Azure DevOps, Microsoft 365 Copilot Custom Solutions, Power Apps, OAuth flows, DLP policies, KQL, Dataverse, Sharepoint, Application Insights, Entra ID fundamentals, Microsoft Graph integration, Copilot Studio

Pyspark, Azure Databricks, ELT, Tensorflow, Gcp, Pytorch, Docker, Azure, Kubernetes, Python, AWS, Etl, data pipelines, scikit-learn, Delta Lake, data lakehouse architecture, Machine Learning algorithms and techniques

Tensorflow, Pytorch, Gcp, MLops, Docker, Azure, Python, Kubernetes, AWS, vector databases, LLM APIs, RAG