Vision-driven full-stack .NET and Python developer with 14 years of experience, specializing in Enterprise Generative AI applications and cloud-native intelligent systems. Proven expertise in building LLM-powered chatbots, hybrid search systems, document intelligence solutions, and deploying scalable AI across Azure, GCP, and open-source ecosystems. Adept at translating business problems into intelligent, AI-driven software using GPT-4o, LangChain, Document AI, and Azure OpenAI services.
Enterprise GenAI Document Chatbot (Cloud AI – Azure & GCP)
Duration: Oct 2024 – Present
Technologies: Azure OpenAI (GPT-4o, 3.5), Azure AI Search, Azure Blob, Azure Document Intelligence, TextEmbedding-Large, GCP Buckets, GCP Document AI OCR, LangChain, LlamaIndex, Python, C#, NSSM, Azure Log Analytics
Summary:
Leading the design and implementation of an intelligent GenAI chatbot enabling users to extract insights from uploaded documents using LLM-powered semantic search across Azure and GCP.
Highlights:
SmartREV – Revenue Cycle Management (RCM)
Duration: Dec 2021 – Present
Technologies: .NET MVC, Web API, C#, SQL Server, Entity Framework, LINQ, Razor, SSRS, Postman, Azure DevOps
Summary:
Ongoing development and support of an enterprise RCM platform for healthcare providers to manage billing, claims, and payments.
Highlights:
Falcon ERP (Enterprise Resource Planning)
Technologies: ASP.NET MVC, Entity Framework, SQL Server, SSRS, jQuery, Bootstrap
Designed and developed core modules such as finance, HRMS, billing, and inventory management for small and medium enterprises.
Carl Stahl ERP Customization
Technologies: ASP.NET MVC, C#, SQL Server, Bootstrap
Customized and deployed a full-fledged ERP system tailored for a German-based lifting equipment firm.
UNICIN – Inspection & Certification Manager
Technologies: .NET MVC, SQL Server, RDLC, jQuery
Delivered a custom platform to manage audits, compliance checks, and certification lifecycle.
AI & GenAIAzure OpenAI (GPT-4o, 35), Prompt Engineering, LangChain, Retrieval-Augmented Generation (RAG)