You will get LLM, RAG & Chatbot Integration for Your .NET App
Project details
Want to add AI to your .NET app — without a risky rebuild? I integrate LLMs, RAG, and chatbots into existing ASP.NET Core systems, so your app can answer from your own data, automate manual work, and chat with users.
I'm a senior .NET backend engineer (5+ years) who builds and runs production systems, and I work hands-on with OpenAI, RAG pipelines, and vector databases (ChromaDB) — the practical, production side of AI, not just demos. You work directly with me, the engineer writing your code.
What you can get:
✔ OpenAI / LLM integration (summarize, generate, classify)
✔ RAG — AI that answers from your own documents
✔ Chatbots & workflow automation
✔ Clean ASP.NET Core Web API + simple UI
✔ Prompt engineering, docs & deployment-ready code
Pick a tier: AI Kickstart (one feature), RAG Assistant (chat over your docs), or AI Workflow (full RAG + automation, deployed).
Not sure where to start? Tell me what you want the AI to do and I'll reply with an honest, practical plan.
I'm a senior .NET backend engineer (5+ years) who builds and runs production systems, and I work hands-on with OpenAI, RAG pipelines, and vector databases (ChromaDB) — the practical, production side of AI, not just demos. You work directly with me, the engineer writing your code.
What you can get:
✔ OpenAI / LLM integration (summarize, generate, classify)
✔ RAG — AI that answers from your own documents
✔ Chatbots & workflow automation
✔ Clean ASP.NET Core Web API + simple UI
✔ Prompt engineering, docs & deployment-ready code
Pick a tier: AI Kickstart (one feature), RAG Assistant (chat over your docs), or AI Workflow (full RAG + automation, deployed).
Not sure where to start? Tell me what you want the AI to do and I'll reply with an honest, practical plan.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Mobile App Development, AI-Enhanced Classification, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language Understanding, Object Detection, Text RecognitionAI Development Language
PythonAI Tools
GitHub Copilot, Hugging Face, Microsoft 365 Copilot, PyTorchAI Models
ChatGPT, GPT-3, GPT-4, GPT-Neo, LLaMAWhat's included
| Service Tiers |
Starter
$245
|
Standard
$645
|
Advanced
$1,445
|
|---|---|---|---|
| Delivery Time | 4 days | 9 days | 18 days |
Number of Revisions | 2 | 4 | 9 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | |
Model Documentation | - | ||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | ||
Model Tuning | - | ||
Natural Language Processing | |||
NLP Tokenization | - | ||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Extra AI Feature
(+ 3 Days)
+$180
Custom Chat UI
(+ 3 Days)
+$150
Deploy to Your Server
+$120Frequently asked questions
About Md. Ashraful
Senior .NET Backend Developer | ASP.NET Core, APIs & AI Integration
Dhaka, Bangladesh - 8:51 am local time
Need an ASP.NET Core backend that holds up in production — not just in a demo? Across 5+ years and 8+ enterprise projects, I've built and operated .NET systems — APIs, integrations, and deployments — in property technology, ecommerce, payments, and field operations, owning them end to end.
That includes a property-valuation SaaS (Australian market) serving 600+ users and an ecommerce platform handling 7,000+ daily logins — running on infrastructure I deploy and maintain myself. I don't just write endpoints and hand them off. I design the REST API, model the SQL Server data, wire up the integrations, deploy to the server, and stay on for the production issues after launch. You work directly with me — the engineer actually writing your code — not a sales rep or a rotating team of juniors.
Lately I've been adding an AI layer on top of solid .NET foundations: LLM and RAG features, ChromaDB-backed retrieval so an app can answer from your own documents, and AI-assisted automation that cuts manual work. Real backend engineering plus practical AI, in one person — which is exactly where a lot of businesses are heading in 2026.
What I can help you with
✔ ASP.NET Core & C# backend development
✔ REST / Web API design & development
✔ SQL Server design & query optimization
✔ Third-party & payment integrations (accounting, maps, calendars, real-time/WebSockets)
✔ AI integration — LLM, RAG, OpenAI, vector databases (ChromaDB)
✔ Ubuntu/VPS deployment, CI/CD & GitHub Actions
✔ Production troubleshooting, bug fixing & performance optimization
✔ Legacy .NET maintenance & modernization
My tech stack
Backend: C#, ASP.NET Core, ASP.NET MVC (Razor), Web API, Entity Framework, ABP Framework, REST, WebSockets
Database: Microsoft SQL Server — schema design, query optimization, working with large existing databases
AI & automation: LLMs, RAG pipelines, OpenAI API, ChromaDB (vector DB), AI-assisted development
Integrations: Xero/accounting, payment gateways, Google Maps, Google Calendar, IBM Watson, offline sync
DevOps: Ubuntu/Linux, Git, GitHub Actions, Docker, Nginx reverse proxy, CI/CD
Also: PHP (Laravel, CodeIgniter), Node.js, JavaScript, jQuery, basic Angular
A bit of what I've built
A production property-valuation SaaS (Australian market) on ASP.NET Core + ABP, serving 600+ users — valuation workflows, real-time updates, and accounting/third-party integrations
An offline-first field-data capture system with an ASP.NET Web API backend that syncs reliably under poor connectivity
Dealsorts — a smart ecommerce platform handling 7,000+ daily logins, which I built and deploy myself
ParkSharee — a parking booking/reservation platform I built end to end, currently in final pre-launch hardening
An open-source npm package I published and maintain, used by other developers
3 live projects currently running on my own self-managed Linux server — I own the deployment, configuration, and uptime
I'm a strong fit if you…
Have an ASP.NET Core app that's slow, buggy, or breaking under load and needs a senior hand
Need a reliable REST API or third-party/payment integration built right the first time
Want to add AI — chat, RAG over your own data, or automation — to an existing .NET system
Need someone to deploy, configure, and actually keep your app running in production
Are a startup or founder who wants one engineer who can own the backend end to end
How I work
I ask the right questions before writing a line of code, agree on a clear scope and timeline, share progress regularly, and test before I hand anything over. If something's wrong, I tell you early. My goal is a system you can build on — not a quick fix that breaks in three months.
Why clients work with me
✅ Production-ready, clean, maintainable code
✅ Clear, regular communication — you won't have to chase me for updates
✅ Fast responses and honest timelines
✅ I find the real problem, not just the reported one
✅ Post-delivery support and reasonable revisions
✅ Focused on long-term business value, not just closing a ticket
Availability
Open to part-time and full-time contracts, hourly or fixed price. I keep flexible hours and can overlap with US, UK, EU, and Australian business times, and I usually respond within a few hours.
Free 30-minute consultation
Choosing the right developer matters. Before any commitment, I'm happy to spend 30 minutes understanding your requirements, reviewing your existing system, and suggesting the best approach.
Send me a message or invite with a short description of your project, and I'll reply with a clear plan and an honest recommendation.
Steps for completing your project
After purchasing the project, send requirements so Md. Ashraful can start the project.
Delivery time starts when Md. Ashraful receives requirements from you.
Md. Ashraful works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Use-Case
We clarify what you want the AI to do, your data, and the best approach before building.
AI Workflow Design
I design the AI flow — LLM prompts, RAG retrieval, or automation — that fits your app.