vectorization , Tensorflow, Gcp, Pytorch, MLops, Docker, Azure, Kubernetes, Python, AWS, Data lakes, Generative AI, Transfer Learning, LLMs, Azure OpenAI Service, Fine-Tuning, Embedding models, Google Vertex AI, RAG, Data pipelines, Amazon Bedrock, Transformer architectures

bedrock , Tensorflow, MLops, Pytorch, Cloud Architecture, System Design, Python, embeddings, fine-tuning, Generative AI, RAG architecture, LLMs, vector databases, Claude, Pinecone, GPT, OpenSearch, SageMaker, AWS AI ML services, FAISS, Llama, CI-CD pipelines, ML frameworks

data engineering , Ml, Microservices, ELT, Full Stack development, Gcp, Cloud, Azure, Etl, AWS, Generative AI, LLMs, GenAI Architecture, Ai, API-driven architectures, Vector DBs, RAG, Prompt Engineering

Sql, Deep Learning, Tensorflow, Nlp, Pytorch, Gcp, MLops, Azure, Python, AWS, LangChain, Generative AI, Agentic AI frameworks, Cost optimization strategies, Vector databases, AI Cloud certifications, Microservices architecture, Multi-cloud Architecture, Transformer Architecture, LLM Optimization techniques, Prompt Engineering, LlamaIndex, RAG architectures

Keras, Tensorflow, Devops, MLops, AWS, Pytorch, Kubernetes, Python, Azure, Gcp, Docker, PostgreSQL, MongoDB, Javascript, CI CD pipelines, OpenAI, Claude, Gemini, ElevenLabs, Scikit-learn, Grok, Ollama, Perplexity

Python, Javascrpit, MLops, Devops, Aws, Azure, Gcp, AI ML, Generative AI, CI/CD

Machine Learning, Nlp, Gen AI, Generative AI, Ai, Enterprise architecture concepts, Responsible AI frameworks