Tensorflow, Numpy, Nlp, Pytorch, Docker, Python, AWS, Scipy, Pandas, MLops, Gcp, Computer Vision, Keras, Azure, Kubernetes, RNNs, Hugging Face Transformers, MLflow, Pinecone, CNNs, Kubeflow, LangChain, LSTMs, reinforcement learning, Scikit-learn, DVC, FAISS, Transformers, Weaviate, LlamaIndex

Servicenow, Amazon Web Services, Google Cloud Platform, Terraform, Azure, AI orchestration frameworks, Regula test cases, RAG vector databases, Vector databases, Rego policies, PagerDuty, Agentic models, Cloud Security Automation, LLM APIs, Open Policy Agent, Generative AI workflows, Atlassian Suite

Tensorflow, Pytorch, Python, learning-to-rank models, recommendation systems, data pipelines, model training, search relevance, feature engineering

Sql, Python, Langchain, LLM internals, agent workflows, vector databases, embeddings, prompt tuning

Keras, Pytorch, Python, Tensorflow, Model Evaluation, Data Preprocessing, Feature Engineering, reinforcement learning

Azure ML, Tensorflow, MLops, AWS, Pytorch, Python, Azure, Gcp, Git, LLMs, Vertex AI, Claude, scikit-learn, Gemini, SageMaker, transformer-based frameworks, LLaMA, Qwen, DeepSeek, OpenAI GPT-4, Mistral

AWS, Pytorch, Tensorflow, Python, Azure, Docker, Gcp, Nlp, building scalable data pipelines, fine-tuning LLMs, LLM technologies, prompt engineering

Python, MLops, LlamaIndex, LangChain, prompt engineering, modern AI frameworks, AI services, vector databases, embeddings