Python, Generative AI models, Software engineering principles

Machine Learning, Artificial Intelligence, Prometheus, Grafana, Sql, MLops, Docker, Azure, Kubernetes, Python, AWS, Generative AI, LLMOps, Data Bricks, Agentic AI, Prompt Engineering, Large Language Models

Sql, Nosql, Django, React, Flask, FastAPI, Ocr, Python, Qdrant, open-source LLMs, vector databases, REST API design, Chroma, FAISS, Streamlit, RAG pipelines, Weaviate

Ml, Python, Ai

business workflows , Containers, Nlp, Databases, Testing, Python, Ml, Applications, Apis, Version Control, Git, Computer Vision, Retrieval, Prompt engineering, Deployment, Security, Privacy, Vector Databases, Embeddings, ML lifecycle, Human-in-the-loop processes, Data pipelines, RAG pipelines, Grounded responses, Monitoring, Generative AI, LLMs, Data ingestion, AI agents, Responsible AI, Model evaluation

Sql, Python, tree-based models, R, observability monitoring tools, Generative AI tooling, time-series forecasting, classical ML modeling