Tensorflow, Machine Learning, Pytorch, Python, Recommendation Systems, Search Relevance, Feature Engineering, Data Pipelines, Model Training

Docker, Python, AWS, LangChain, Qdrant, GenAI LLM applications, CI CD, Azure AI Foundry, LangGraph, MCP implementation, Microsoft Agent Framework, production-grade agent AI framework

Neural Networks, Knn, Redis, Flask, Clustering, FastAPI, MongoDB, Python, Google Generative AI SDK, Generative AI, LLMs, Qdrant, Pinecone, Classification, OpenAI SDK, Transformers, RAG pipelines

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, 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

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

Tensorflow, Pytorch, Natural Language Processing, Keras, Python, reinforcement learning

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

Natural Language Processing, Python, Azure Machine Learning, Machine Learning, Azure DevOps, MLops, Generative AI, Microsoft 365 Copilot, Azure AI, Cognitive Services, LLMOps, Azure OpenAI