Machine Learning, MLops, Docker, Rest Apis, Kubernetes, LangChain, GenAI LLMs, LLM integration, Pinecone, Azure OpenAI, prompt engineering, Vector Databases, Chroma, Hugging Face models, FAISS, RAG, cloud-based AI ML solutions, OpenAI, Weaviate, LlamaIndex

Apache Spark, ELT, Tensorflow, Pytorch, Gcp, Data Warehousing, Azure, Python, AWS, Etl, LangChain, Generative AI, LLMs, Hugging Face, Pinecone, FAISS, ChromaDB, LlamaIndex, RAG architectures

Pandas, Gcp, Python, orchestration frameworks, Github Workflows, Airflow, scikit-learn, Machine Learning Operations

Cloud platforms (Azure preferred), Lakehouse architectures (Databricks), Large Language Models (LLMs), Apache Spark, Sql, Tensorflow, Pytorch, Python, Machine Learning Algorithms, MLflow, MLOps practices, Prompt engineering, GenAI application development, Vector databases, Model versioning, Monitoring and drift detection, Agentic AI workflows, Multi-LLM orchestration systems, Statistical Modeling, Distributed computing frameworks, Deep learning frameworks, Embedding models, Automated retraining, CI/CD for ML, Semantic search architectures

AI ML, Tensorflow, Numpy, Pandas, Pytorch, Python, Data preprocessing, Scikit-learn, Feature engineering, Gen AI, System design principles, Agentic AI, Model evaluation techniques