AI & Full Stack Engineer | LLMs • RAG • Prompt Engineering • Responsible AI & Content Safety | Azure • AWS • ATG eCommerce

• AI-focused software engineer with 18+ years of experience delivering enterprise-grade, multi-tier, multi-tenant solutions with a strong focus on Generative AI, LLM integration, and cloud-native architecture across regulated environments. • Delivered end-to-end AI chatbot solutions using Azure AI Foundry and Microsoft Copilot Studio, integrating task-oriented LLMs, Azure AI Search, and Azure Prompt Flow to support intelligent automation, IT self-service use cases, and developer productivity. • Skilled in AI DevOps practices, including developing and deploying AI workflows using Azure Prompt Flow and Azure AI Foundry, automating end-to-end deployment pipelines with Azure ML CLI and Python SDK, and deploying FastAPI-based Python inference services on Azure App Services for scalable, real-time AI inferencing. • Proficient in building foundational Generative AI platforms using Azure AI technologies, including prompt engineering,LLM curation and implementation of operational governance controls to ensure regulatory and security compliance throughout the model lifecycle. • Expert in AI engineering, including prompt engineering, Retrieval Augmented Generation (RAG), toxicity(Content) filtering, and validation mechanisms to drive model accuracy and minimize hallucinations in AI agents and chatbots. • Led enterprise initiatives to implement AI-assisted coding tools like GitHub Copilot, driving measurable gains in developer velocity and adoption across diverse technology stacks. • Designed and deployed AI-powered chatbots using Microsoft Direct Line API, WebChat.js, and Redux for multi-channel engagement, incorporating enterprise-grade prompt workflows and real-time inference capabilities via Azure ML CLI and Python SDK. • Established and promoted AI/ML standards, architecture patterns, and best practices within the enterprise AI-COE (AI Center of Excellence), partnering with senior stakeholders to align AI strategies with business objectives. • Experience with AWS Solutions Architecture and hands-on experience with AWS Lambda, S3 , Dynamo DB,SQS,SNS, Secrets Manager and Elastic Search Engine. • Working knowledge of Elastic Search Management, reindexing and data mappings, JSON and KQL searching syntax, and Kibana dashboard options • Handled the Cloud migration of an existing .NET application hosted in Remote AZURE to in-house using the Lift and Shift Approach.