About

Certified Generative AI Engineer with expertise in designing, building, and deploying enterprise AI solutions leveraging Microsoft Azure OpenAI. Specializes in applying Large Language Models (LLMs) to address business challenges across marketing, operations, customer experience, and analytics. Develops end-to-end AI applications utilizing advanced prompt engineering, Retrieval-Augmented Generation (RAG), and cloud-native deployment strategies for scalable, production- ready solutions. Proficient in rapid prototyping and enterprise integration through low-code/no-code AI platforms. Skilled in advanced prompt engineering techniques (zero-shot, few-shot, chain- of-thought) for content generation, summarization, classification, and decision support. Integrates multimodal AI capabilities (text, image, speech) to create intelligent applications. Extensive hands-on experience with the Microsoft Azure AI ecosystem, including: * Azure OpenAI Service & Studio:Model deployment, prompt fine-tuning, evaluation. * RAG Implementation:Azure AI Search, prompt engineering pipelines, embeddings, vector databases (Pinecone, FAISS), Langraph. * AI Development:Azure Prompt Flow, Azure AI Vision & Speech, Guard Rails, Computer Vision, NLP, ML Workload, ML Workspace, AI Foundry, Speech Studio, Transformer Architecture, Tokenization, Finetuning the models, OpenAI API * Python, LangChain, LangGraph, PineCone, FAISS, Streamlit, NumPy, Pandas based RAG, SentimentAnalysis, Product Review Development with OpenAI * Hands-on with Google Collab * Exposure for RAG based development using LangGraph/ LangChain # Build a Machine Learning Web App with Streamlit and Python with certification from Coursera # Completed a certification on Python for Data Analysis: Pandas & NumPy from Coursera

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