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

Large Language Models (LLMs), Tensorflow, Pytorch, Python, Computer Vision, Generative AI, Hugging Face ecosystem, RAG systems, Prompt Engineering, Agentic AI, Deploying optimized models in cloud and/or edge environments, NLP techniques

Tensorflow, Pytorch, Gcp, MLops, Docker, Azure, Kubernetes, Python, AWS, LangChain, Generative AI, LLaMA, Scikit-learn, Pinecone, GPT, FAISS, LoRA, Weaviate, QLoRA, LlamaIndex, Large Language Models

Tensorflow, Natural Language Processing, Generative Adversarial Networks, Python, Pytorch, Machine Learning Algorithms, Text-to-Image, Conditional GANs, Latent Diffusion, Draping algorithms, Deep Neural Networks, InPainting, Image-to-Image, Feature engineering, Speech-to-Text, Data pre-processing, Text-to-Speech, Stable Diffusion, Texture Mapping, Fabric simulation, Transformers

Numpy, Git, Pandas, Databricks, Python, Sql, scikit-learn, AWS SageMaker, Vector databases, Similarity search concepts, NoSQL databases, Jupyter, Generative AI models