bedrock , S3, CDK, Quicksight, Tensorflow, Lambda, Ec2, Pytorch, Docker, Python, Java, Aws Services, Cloudformation, Scala, Emr, Sql, MLops, Kubernetes, Infrastructure as Code, Hugging Face, R, Generative AI, Scikit-learn, SageMaker, Glue, Transformers

Machine Learning, Sql, Deep Learning, Tensorflow, Azure ML, MLops, Pytorch, Docker, Kubernetes, Python, Generative AI, SageMaker, Agentic AI, Vertex AI

API design, Iam, Integration, Python, generation, Secrets Manager, evaluation practice, GenAI systems, vector store, embedding, retrieval, multi-step tool-calling, agentic system, RAG pipeline, ingestion

Retrieval-Augmented Generation (RAG), Tensorflow, Pytorch, Gcp, Data Warehousing, Azure, Python, AWS, LangChain, Generative AI, LLMs, Hugging Face Transformers, ETL/ELT Tools, LlamaIndex

Machine Learning, Predictive Analytics, Python, Apis, MLops, Distributed Systems, Cloud-native environments, Developer Productivity, Intelligent Automation, Generative AI, Statistical Machine Learning

Retrieval-Augmented Generation (RAG, Python, C#, C++, Numpy, Pandas, MLops, Etl, Pytorch, Orchestration, AI coding assistants, Evaluation, Agentic AI solutions, OpenAI-compatible APIs, LLMOps, Azure OpenAI, Data pipelines, LangChain, Embeddings, Vector search, Tool calling, Anthropic Claude, LangGraph

triton , Tensorflow, MLops, Pytorch, Kubernetes, Python, PEFT, Airflow, fine-tuning, Generative AI, LLMOps, Hugging Face, Ray, vector databases, LLM systems, large-scale retrieval systems, vLLM, Agentic AI, Distillation, TGI, LoRA, RAG architectures, model optimization