, Ml, Algorithms, Artificial Intelligence, Python, Data Analytics, Machine Learning, Expert Systems, Ai, GenAI, Big Query

Algorithms, Redux, React, Gcp, Terraform, Docker, System Design, data structures, Azure, Python, Kubernetes, Webpack, AWS, LangChain, vector databases, Vite, software development best practices, MLOps practices, Retrieval-Augmented Generation techniques, Agentic AI concepts, LlamaIndex, Zustand

Ml, AWS, Python, Azure, semantic similarity, LLMs, transcription, ground-truth comparison, Google, Ai, evaluation harnesses, prompt engineering, speech-to-text, structured validation

snowflake , bedrock , Scikit Learn, Python, XGBoost, Data Cloud, agentic frameworks, MCP, langchain, large enterprise datasets, analytics platforms, ML libraries

XGBoost, Python, Tensorflow, Amazon SageMaker, LightGBM, Scikit-learn

Gcp, Java, HTML, CSS, Typescript, React, AWS, Kubernetes, Python, Azure, Docker, Terraform, Javascript

Prometheus, AWS CloudFormation, Tensorflow, Grafana, Google Cloud, AWS, Pytorch, Kubernetes, Azure, Docker, Terraform, Cloudwatch, MLflow, Scikit-learn, TensorFlow Serving

Azure Cloud, Tensorflow, Machine Learning, Azure Functions, Pytorch, Python, Nlp, Azure ML, Azure DevOps, FAISS, MLOps tools, MLflow, Kubeflow, Scikit-learn, LLM-based systems, vector databases, Azure ML pipelines, Weaviate, Pinecone, HuggingFace, Spacy, Transformers

Python, embedding pipelines, applied NLP, ML evaluation methods, LLM API integration, multilingual models, confidence scoring

Api Integration, Pytorch, Tensorflow, Python, Azure ML, model observability, LangChain, Hugging Face, data ingestion, GCP Vertex AI, AWS SageMaker