data engineering , Neural Networks, large-scale data processing frameworks and tools, data pipeline development and management in cloud and on-premise environments, AI-driven image processing, generative AI models, deep learning architectures, AI model integration and deployment techniques

Ml, Linux, Python, Cuda, Deep Learning, Computer Vision, Multi-Object Tracking, Multi-Sensor Fusion, Ai, Sensor Calibration

Machine Learning, Deep Learning, Pytorch, Docker, FastAPI, Python, AWS, LangChain, Generative AI, LLMs, AI Agents, Hugging Face, LangGraph, Vector Databases, Embeddings, RAG, LlamaIndex, Prompt Engineering

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

Python Programming, Generative AI, RAG and embeddings, Prompt Engineering