Lokesh Chandak

Led the end-to-end development and management of secure, scalable chatbots across HR, IT, customer support, and sales domains. Integrated Azure OpenAI, Bot Framework SDK, LUIS, and Power Virtual Agent to enhance multilingual capabilities and response accuracy. Explored and evaluated emerging Agentic AI frameworks such as LangGraph, AutoGPT, UiPath Agentic AI, Glean and Microsoft Copilot, designing integration architectures for enterprise-grade chatbots. Prototyped and benchmarked agentic workflows, resulting in a 40% improvement in contextual response relevance and paving the way for autonomous task orchestration in enterprise environments. Designed and deployed machine learning models for real-time recommendation engines, forecasting, and dynamic pricing. Led successful POCs integrating LangChain, Hugging Face models, and RAG pipelines to enhance chatbot intelligence and contextual accuracy with evaluation of next-gen protocols like MCP and A2A for agent communication. Worked with large-scale, structured and unstructured datasets sourced from CRM systems, internal databases, and third-party platforms like Slack, Salesforce, and Service Cloud. Performed data cleansing, normalization, feature engineering, and EDA to build robust and reliable ML pipelines. Processed and stored data using Azure Data Lake, Azure Blob Storage, and SQL-based systems to ensure scalability, security, and availability.

Proficient in working with Microsoft Bot Framework, including SDK, Composer and PVA, to develop and deploy chatbots for various platforms such as WhatsApp and Microsoft Teams. Successfully delivered 15+ WhatsApp chatbots and 5+ Teams chatbots. Developed 2+ web applications using Blazor Server and MVC, ensuring responsive and interactive user experiences. Modified and updated existing portals based on ASP.NET Core MVC, implementing enhancements and optimizing performance. Integrated Azure SQL Database with .NET applications, ensuring efficient data storage and retrieval, and implementing data access patterns for optimal performance. Implemented Azure Active Directory (AAD) for authentication and authorization, enabling secure access control to Azure resources and applications. Implemented Azure Functions for serverless computing, enabling event-driven application architectures and reducing operational costs. Proficient in leveraging Azure DevOps for CI/CD pipelines, source control management, and continuous integration and deployment of Azure-based applications, ensuring efficient and automated release management processes. Implemented CI/CD pipelines for Chatbot solutions, following the Application Lifecycle Management (ALM) process. Developed backend solutions using .NET Core, Blazor Server, Web API, Rest APIs, and SQL database. Built frontend components of applications using Bootstrap, JavaScript, and Mudblazor components, ensuring a responsive and visually appealing user interface. Worked with Microsoft Azure services such as Web Application, Bot Services, Azure Functions,Azure Blob Storage, LUIS, QnA Maker, Language Studio, Power Virtual Agent, Power Apps, Power Automate Flows, and DevOps to enhance application functionality. Integrated chatbots and applications with Salesforce, Sprinklr, and other Omni-channel platforms, ensuring seamless data exchange and integration. Kept up-to-date with the latest Azure and .NET technologies by attending conferences, webinars, and participating in online forums, continuously enhancing skills and knowledge.