Python, production deployment and monitoring of AI ML solutions, multi-step agent workflows, prompt engineering, RAG architectures

Sql, Prototyping, automation, Python, digital tools, machine-learning technologies, Grok, Claude, AI technologies, data and AI tools, ChatGPT, R, OpenAI APIs, Gemini

Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) governance, Agent Development Kits (ADKs), Google Cloud Platform, Python, Cloud-based data solutions, Data lakes, Agentic AI architectures, Enterprise data warehouses, Enterprise cloud architecture, LLM-powered solutions, Enterprise guardrails, Gemini Enterprise, Microservices applications, intelligent agents, Data pipelines, AI security, Generative AI applications

Rpa, microsoft power automate, Google Cloud, Nlp, Blue Prism, Microsoft Azure, Ocr, Ui Path, AWS, Generative AI, LLMs, Chatbots, ABBYY, AI Intelligent Automation on Cloud, Prompt Engineering, Document Understanding, AI orchestration frameworks

Machine Learning, Python, LangChain framework

Pyspark, Kafka, Sql, Azure Data Factory, Terraform, Spark, Databricks, Azure, Python, MLflow, Unity Catalog, GitHub Actions, Microsoft Purview, Event Hubs, Delta Lake, Structured Streaming, Bicep

Microsoft Office, Computer Vision, Model Deployment Techniques, AI Ethics and Governance, AI Tools and Frameworks

Oops Concepts, Angular, React, Typescript, Design Patterns, Flask, Python, Logging, Css3, Django, Git, Html5, FastAPI, Material UI, Devops Tools, Kubernetes, responsive UI, Azure AI evaluation tooling, CI CD, LangGraph, LLM APIs, SQL-Postgres, DSPy, Unix command-line tools, Cloud infra architecture design, Unit testing frameworks, LangChain, CrewAI, tracing, UI component libraries, Semantic Kernel, AutoGen