You will get Next.js + AI SaaS Minimum Viable Architecture (MVA)
Project details
1. Next.js 15 App Router + React 19 Frontend.
2. .NET 8/10 or Node API backend.
3. PostgreSQL Database with `pgvector` for AI/RAG capabilities.
4. Integrated Auth (NextAuth/Clerk) and Stripe Billing.
2. .NET 8/10 or Node API backend.
3. PostgreSQL Database with `pgvector` for AI/RAG capabilities.
4. Integrated Auth (NextAuth/Clerk) and Stripe Billing.
Programming Languages
HTML & CSS, JavaScript, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included $2,500
These options are included with the project scope.
$2,500
- Delivery Time 14 days
- Number of Revisions 3
- Design Customization
- Content Upload
- Responsive Design
- Source Code
Optional add-ons
You can add these on the next page.
Fast 7 Days Delivery
+$2,500
Additional Revision
+$1,000
Additional Page
(+ 2 Days)
+$200
15 reviews
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LD
Lokesh D.
Apr 4, 2026
Modernize Legacy .NET MVC App to .NET Core API + Next.js Frontend + SQL Optimization
Exceptional work from start to finish. We hired for a complex modernization of our legacy ASP.NET MVC inventory management system - migrating to .NET Core Web API, Next.js frontend, and optimized MS SQL Server; and the results exceeded our expectations on every level.
From day one, the communication was outstanding. We always knew where the project stood, what decisions were being made and why, and any blockers were flagged early with solutions already proposed. No surprises, no guesswork.
The technical depth was impressive. The backend was restructured using Clean Architecture with proper separation of concerns across Domain, Application, Infrastructure, and API layers. The APIs are well-documented via Swagger, versioned, and built with scalability in mind. Stored procedures were audited and optimized - we saw measurable performance improvements in query execution times.
The Next.js frontend is modern, fast, and significantly better UX than what we had. Dashboards, role-based access, and reporting modules were all delivered cleanly. The codebase is readable, well-commented, and handed over with full documentation including an architecture guide, ERD, deployment steps, and a walkthrough video.
What stood out most was the professionalism — clean code, proper git practices, proactive suggestions, and a genuine understanding of our business domain, not just the technology. This felt like working with a senior architect, not just a developer.
The system is now API-first, cloud-ready, and positioned well for future AI and automation integrations. We're already discussing the next phase.
Highly recommended. If you need someone who truly commands both frontend and backend at an architectural level - this is your person.
From day one, the communication was outstanding. We always knew where the project stood, what decisions were being made and why, and any blockers were flagged early with solutions already proposed. No surprises, no guesswork.
The technical depth was impressive. The backend was restructured using Clean Architecture with proper separation of concerns across Domain, Application, Infrastructure, and API layers. The APIs are well-documented via Swagger, versioned, and built with scalability in mind. Stored procedures were audited and optimized - we saw measurable performance improvements in query execution times.
The Next.js frontend is modern, fast, and significantly better UX than what we had. Dashboards, role-based access, and reporting modules were all delivered cleanly. The codebase is readable, well-commented, and handed over with full documentation including an architecture guide, ERD, deployment steps, and a walkthrough video.
What stood out most was the professionalism — clean code, proper git practices, proactive suggestions, and a genuine understanding of our business domain, not just the technology. This felt like working with a senior architect, not just a developer.
The system is now API-first, cloud-ready, and positioned well for future AI and automation integrations. We're already discussing the next phase.
Highly recommended. If you need someone who truly commands both frontend and backend at an architectural level - this is your person.
LD
Lokesh D.
Mar 5, 2026
SaaS Architect for ASP.NET MVC to .NET Core then to Multi-Tenant App Transformation with AI
Elite SaaS Architect: .NET Core Microservices + AI/Multi-Tenant Pro
Ajay transformed our legacy ASP.NET MVC app into a scalable .NET Core microservices powerhouse with Next.js frontends, Web APIs, and optimized PostgreSQL (normalized/indexed for fast queries). He architected everything, demoed live workflows, and built a full POC—plus multi-tenancy blueprint for easy scaling and AI augmentation (RAG/multi-AI) for smart features.
Impeccable code, docs, and strategy. Ajay's mastery of .NET Core, Next.js, microservices, multi-tenancy, and AI makes him ideal for enterprise SaaS migrations. Top-tier hire!
Ajay transformed our legacy ASP.NET MVC app into a scalable .NET Core microservices powerhouse with Next.js frontends, Web APIs, and optimized PostgreSQL (normalized/indexed for fast queries). He architected everything, demoed live workflows, and built a full POC—plus multi-tenancy blueprint for easy scaling and AI augmentation (RAG/multi-AI) for smart features.
Impeccable code, docs, and strategy. Ajay's mastery of .NET Core, Next.js, microservices, multi-tenancy, and AI makes him ideal for enterprise SaaS migrations. Top-tier hire!
RS
Ronnel S.
Nov 16, 2016
internal project
keep it up!!
SS
Steven S.
Feb 13, 2016
.Net and Web Frontend Developer Needed
ss
smarter s.
Aug 5, 2015
Web Development
About Ajay
AI Infrastructure Architect | LLM Cost Cutting | .NET Modernization
100%
Job Success
Nathdwara, India - 9:53 pm local time
I architect hybrid LLM routers - where Claude Opus orchestrates high-level strategy, while local Qwen models (Ollama) handle 80% of inference execution. Result: 40–70% reduction in AI/cloud costs - proven in production at HiveGPT and Social27 (Fortune 500 event platforms).
This isn't theory. It's deployed. It's saving real money. And I can do it for you - without rebuilding your entire stack.
Most AI projects fail not because the technology doesn't work - but because the costs spiral before ROI kicks in. I have built and deployed production AI systems for Fortune-class clients (Social27, HiveGPT). The difference between a money-pit AI project and a profitable one is intelligent architecture - not just better prompts.
What I do: I architect hybrid LLM systems where 80% of inference runs on local models (Ollama + Qwen) and only complex reasoning hits cloud APIs (Claude/OpenAI). The result? 40-70% reduction in AI spend - without sacrificing output quality.
Why This Matters to You
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If you are a SaaS founder: Your OpenAI bill is growing 20% month-over-month. My hybrid router cuts costs immediately.
If you are a CTO: Your team is spending 60% of time on AI plumbing. I handle the infrastructure - you focus on product.
If you are an agency: You are referring AI projects out and losing margin. I become your invisible AI delivery arm.
What I Deliver
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Hybrid LLM Architecture: Claude Opus as orchestrator + Qwen local sub-agents. Prompt caching reduces input costs by ~90%. Production-ready.
.NET Core + Next.js Enterprise Systems: 18+ years building scalable SaaS platforms. Not just code - architecture that lasts.
RAG Pipelines & Vector Search: pgVector, Azure AI Search, custom document ingestion - built for real-world enterprise data.
Legacy Modernization: Take your ASP.NET monolith to .NET Core + AI-native in months, not years.
Fractional CTO: Technical leadership for SaaS teams who need strategic direction without full-time cost.
Proof - Not Promises
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Social27 (Seattle, USA)
Built an AI Online Event and Seminar - ChatGPT-powered live event intelligence for Fortune 500. Zero-downtime deployment at global scale with 50K+ concurrent users.
HiveGPT (USA)
Delivered a multi-agent B2B marketing automation platform. Achieved ~90% input cost reduction via prompt caching with fully autonomous campaign generation.
Clearly Inventory (USA)
Architected a multi-tenant SaaS inventory platform serving 100+ business accounts. 8+ years of continuous delivery with a fully remote team.
Hospital OS
Developed a HIPAA-compliant EMR/EHR with AI intelligence. Production healthcare system - built to meet strict compliance standards.
My Technology Stack
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AI / LLM: Claude API, OpenAI, Gemini, Ollama (Qwen 2.5/3/3.5), Mistral, Microsoft Semantic Kernel, RAG Pipelines, pgVector, Multi-Agent Orchestration, Prompt Engineering, Azure OpenAI.
Backend: .NET Core 8/10, ASP.NET MVC, C#, Blazor, SignalR, Entity Framework, REST/GraphQL APIs, Microservices, Event-Driven Architecture.
Frontend: Next.js 15, Angular 2-20, React, TypeScript, Vue.js, React Native, MAUI, Blazor.
Cloud / DevOps: Azure (AKS, Functions, App Service, SQL, Synapse, DevOps, Blob), AWS EC2, Docker, Kubernetes, Terraform, CI/CD.
Data: SQL Server, PostgreSQL, MongoDB, Redis, ElasticSearch, Azure Synapse, Power BI.
Who I Work With
-----
SaaS companies adding AI to existing products without rebuilding from scratch.
Enterprises modernizing legacy .NET systems for the AI era.
Agencies needing a white-label development partner for complex .NET/AI projects.
Startups needing Fractional CTO leadership to guide technical strategy.
The Bottom Line
-----
I have been building enterprise systems for US clients remotely for 18+ years. I have seen the hype cycles. I know what works and what does not.
AI is not magic. It is infrastructure. And infrastructure needs to be cost-effective, scalable, and maintainable.
If you are spending more than $5,000/month on LLM APIs, I can show you how to cut that in half — without losing capability.
Let's Talk
Message me with:
-----
Your current tech stack
What you are trying to build or modernize
Your rough LLM or cloud monthly spend
I will reply with a high-level architecture assessment - free, with no obligation.
Thanks
Steps for completing your project
After purchasing the project, send requirements so Ajay can start the project.
Delivery time starts when Ajay receives requirements from you.
Ajay works on your project following the steps below.
Revisions may occur after the delivery date.
Client purchases the project and sends requirements.
I will need Project Specs, Tech Specs, current system and its codebase plus current bottlenecks.