Machine Learning (ML), Image Processing, Neural network architectures, Deep learning frameworks, Chatbots, Deployment pipelines for production environments, Cloud AI services, Generative AI models

C, Python, AI-ML based compiler tools, graph optimization techniques, graph programming model

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