bedrock , ELT, Lambda, Pytorch, Docker, Python, AWS, ECS, Spark, Kubernetes, Etl, LLM application development, MLflow, Pinecone, Flink, OpenSearch, GitHub Actions, RAG pipelines, Hugging Face ecosystem, PGVector, prompt engineering, EKS, SageMaker, GitLab CI, Kedro

Tensorflow, Pytorch, MLops, Pyspark, Machine Learning Algorithms, Python, Prompt engineering, Agentic AI, Large language models, Machine learning pipelines, Gen AI ecosystem

Cloud platforms (AWS), Kubernetes), Containerization (Docker, Machine Learning, Sql, MLops, Python, Version Control, Ai, anomaly detection, Real-time data processing, Time-series forecasting, Model tuning and validation, Real-time prediction models, Demand Forecasting, Freight audit, Performance Tracking, Feature engineering

Machine Learning, Pytorch, Gcp, Apache Spark, Big Data, Azure, Python, Sql, Deep Learning, AWS, Speech NLP, Generative AI

Tensorflow, AWS, Pytorch, Python, Kubernetes, Azure, Gcp, Docker, hybrid AI systems, LLM integration, MLOps tools, MLflow, Kubeflow, feature engineering, data preprocessing, model evaluation metrics, ML pipelines, CI CD pipelines

Devops, Docker, Kubernetes, ECR, AWS SageMaker, CI/CD, EKS

Cursor, Nosql, Docker, Terraform, Python, AWS, BigQuery, Gcp, FastAPI, Azure, Kubernetes, LangChain, ADK, Gradio, CI CD, LangGraph, A2A, GitHub Actions, Vertex AI, Kubeflow, Streamlit, Windsurf, Vector SQL, GKE, Claude Code, GitHub Copilot, FastHTML, MCP

tokenization , Pytorch, Python, attention mechanisms, T5, GPT, data preprocessing techniques, BERT, sequence-to-sequence models, Hugging Face, ML Serving, embeddings

Tensorflow, Django, Hadoop, React, Kafka, AWS, Pytorch, Node.js, Kubernetes, Python, Azure, Algorithms, Docker, Gcp, Spark, data structures, scikit-learn, Airflow, generative AI technologies, Vector Databases, RAG architectures, transfer learning, prompt engineering

Azure, Gcp, Pytorch, Python, Aws, Llm