Machine Learning, Ai

snowflake , Large Language Models (LLMs), Matplotlib, Power Bi, PostgreSQL, Apache Spark, Tableau, Sql, Tensorflow, Numpy, Pandas, Pytorch, MySQL, Seaborn, MongoDB, Azure, Python, Scikit-learn, Google Cloud Vertex AI, Agentic AI systems, Microsoft Teams, AWS SageMaker, Azure AI, ETL pipelines

AWS, Python, Google Cloud, Microsoft Azure, Information Retrieval using RAG, Vector DBs, LLMs, Fine-tuning, Prompting, Architectural Design for Chatbots

Azure, Tensorflow, Machine Learning, MLops, Pytorch, Gcp, Python, AWS, Generative AI, Conversational AI, Hugging Face

Machine Learning, Nlp, Ai, AIML models, algorithms/processes, Deep learning development, Machine learning model

Ml, Flows, Cursor, Mobile Application Development, APEX, Salesforce platform architecture, agentic tool-use patterns, agentic systems architecture, cloud-native architecture, Ai, Claude, prompt engineering, platform scalability principles, Lightning Web Components, LLM orchestration, integration patterns, Gemini, AI developer assistants

data engineering , Machine Learning, Tableau, Data Science, Full Stack Development, Artificial Intelligence, Power Bi, Power Automate, Deep Learning, Incident Management, HPE Networking, Customer Escalation Handling, Development Fundamentals, Process Improvement, Network Support Operations, Security-First Mindset, Case Lifecycle Management, Salesforce, Root Cause Analysis, Design Thinking, KPI Management, Machine Learning Operations, Wired and Wireless Networking, Statistical Modeling, Sla Management

Docker, Terraform, Openshift, AWS, Streaming, Http, Gcp, Enterprise Integration, Migration, Databricks, Azure, Kubernetes, GPU optimization, AWS Bedrock, AI FinOps, LangGraph, WebSockets, Vector Databases, A2A, Vertex AI, Bicep, CrewAI, modernization, AI Foundry, LLMs, SSE, Semantic Kernel, SageMaker, Agentic AI, RAG, MCP, AI ML GenAI platforms, Cloud Platform Architecture