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dhirunegi

Dhirendra Negi

@dhirunegi

I Will Build Your AI SaaS App with ASP NET Core React and Angular

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Inglês, Hindi
Algumas informações são exibidas no idioma inglês.
Sobre mim
Hi! I'm Dhirendra Singh Negi, a senior gen-AI full-stack engineer with 4+ years building production-grade systems on .NET 8, Angular, and Azure. Specializing in integrating Generative AI into real applications. I hold Microsoft's AI-102 (Azure AI Engineer), AZ-204 and AZ-400, and I build GenAI-powered features end-to-end: RAG pipelines, Azure OpenAI integration, intelligent document/data processing, and AI-assisted workflows, wired into scalable backends and clean Angular/React frontends. I don't just call an LLM API, I architect the system around it. Let's build your AI-powered product.... Saiba mais

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dhirunegi
Dhirendra Negi
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I will your dot net core and ai developer
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Portfólio

Experiência profissional

Freelancing_Career

Full Stack GenAi Developer

Freelancing Career • Freelance

Mar 2026 - Present • 7 mos

I work on GenAI projects building Retrieval-Augmented Generation (RAG) pipelines and Azure OpenAI integrations for applications that need AI features to actually work in production, not just in a demo. The work covers the full loop: designing the retrieval layer, prompt engineering, and grounding logic to keep outputs accurate, wired into a properly engineered backend and frontend that hold up under real users and real load. This sits on top of 4+ years of production experience in .NET 8, ASP.NET Core, and Angular, including direct GenAI/LLM work at De Facto Infotech and Gallagher shipping Azure OpenAI + RAG features into business-critical applications. Backed by Microsoft's AI-102 (Azure AI Engineer Associate), AZ-204 (Azure Developer Associate), and AZ-400 (DevOps Engineer Expert).

de_facto Infotech

Software developer

de facto Infotech • Período integral

Feb 2024 - Mar 2026 • 2 yrs 1 mo

At De Facto Infotech, I've integrated Azure OpenAI into a business-critical application using Retrieval-Augmented Generation (RAG) — building the retrieval layer, prompt design, and grounding logic needed for accurate, reliable outputs rather than a thin wrapper around a chat API. Alongside this, I've built the ASP.NET Core / .NET 8 backend and Angular frontend the system runs on, working with enterprise ERP-style architecture.