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dhirunegi

Dhirendra Negi

@dhirunegi

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

India
Inglés, Hindi
Parte de la información aparece en idioma inglés.
Sobre mí
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.... Lee más

Habilidades

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dhirunegi
Dhirendra Negi
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I will your dot net core and ai developer
DeUSD 100 / proyectoMás información

Porfolio

Experiencia laboral

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 • Tiempo completo

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.