You will get AI SaaS MVP with ChatGPT, automation, React, Node.js
Project details
Launch Your AI SaaS Without Wasting Months
Most founders get stuck in
~ Overbuilding
~ Hiring wrong developers
~ Delays and unclear architecture
ARE YOU ONE OF THOSE?
I help you go from idea → working AI SaaS MVP that you can
~ Launch
~ Demo to investors
~ Start generating revenue
What I Build
~ AI SaaS platforms
~ ChatGPT powered web apps
~ AI dashboards & tools
~ Automation-based SaaS
~ Internal AI business systems
Tech Stack
~ React / Next.js
~ Node.js / NestJS
~ OpenAI (ChatGPT) / Claude
~ Supabase / PostgreSQL
~ Stripe subscriptions
What You Get
~ Fully functional SaaS MVP
~ AI integration (ChatGPT / Claude)
~ Authentication system
~ Clean dashboard UI
~ Scalable backend architecture
Most founders get stuck in
~ Overbuilding
~ Hiring wrong developers
~ Delays and unclear architecture
ARE YOU ONE OF THOSE?
I help you go from idea → working AI SaaS MVP that you can
~ Launch
~ Demo to investors
~ Start generating revenue
What I Build
~ AI SaaS platforms
~ ChatGPT powered web apps
~ AI dashboards & tools
~ Automation-based SaaS
~ Internal AI business systems
Tech Stack
~ React / Next.js
~ Node.js / NestJS
~ OpenAI (ChatGPT) / Claude
~ Supabase / PostgreSQL
~ Stripe subscriptions
What You Get
~ Fully functional SaaS MVP
~ AI integration (ChatGPT / Claude)
~ Authentication system
~ Clean dashboard UI
~ Scalable backend architecture
AI Algorithms
AdaBoost, AlexNet, Autoencoder, Convolutional Neural Network, CycleGAN, Deep Belief NetworkAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI-Generated Code, Automatic Speech Recognition, Conversational AI, Natural Language Generation, Natural Language Understanding, Object Localization, Sentiment Analysis, Sequence Modeling, Synthetic Data GenerationAI Models
AlphaCode, BERT, BLOOM, ChatGPT, DALL-E, GPT-3, GPT-4, LaMDA, LLaMA, Midjourney AI, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$390
|
Standard
$950
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 16 days |
Number of Revisions | 1 | 3 | 5 |
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 | - | - | - |
About Rams
AI Engineer | RAG & LLM Systems | Node.js, Azure, OpenAI, AWS
Morrisville, United States - 9:24 pm local time
Azure AI-102 certified. AWS Solutions Architect.
If your AI product needs to actually work in production, let's talk.
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𝗪𝗵𝘆 𝗺𝗼𝘀𝘁 𝗔𝗜 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝗳𝗮𝗶𝗹 𝗮𝗳𝘁𝗲𝗿 𝗹𝗮𝘂𝗻𝗰𝗵
They work in demos. They break with real users, real data & real scale bcz they were built as API wrappers, not engineered systems. Latency spikes. Context windows overflow. Retrieval returns noise.
The fix isn't more prompting. It's architecture.
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𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱
• RAG systems. Document intelligence, knowledge bases, hybrid vector + keyword retrieval (Pinecone, FAISS, ChromaDB)
• LLM agents with memory, tool-calling & multi-step reasoning (LangChain, OpenAI Assistants API)
• AI automation pipelines. Replace manual workflows with intelligent, auditable systems
• Azure OpenAI & AWS Bedrock integrations inside enterprise grade backends
• AI powered SaaS MVPs from architecture to production deployment
• Document processing & OCR pipelines structured extraction from PDFs, contracts, forms
• Serverless LLM backends Node.js, AWS Lambda, Azure Functions
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𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗺𝗲 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁
Most AI freelancers come from ML research or frontend.
I come from 13 years of backend heavy enterprise engineering. The kind where performance, security, and reliability are non negotiable.
At TIAA, I architected an Azure OpenAI document processing system handling financial documents at scale reducing manual extraction effort by 60%+ and processing 10,000+ documents per day.
At IBM, I built chatbot infrastructure and Node.js microservices deployed on Kubernetes.
At Bank of America, I shipped client facing web applications under strict ADA and security compliance.
I know what enterprise systems actually require. Now I apply that same standard to AI products.
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𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀
🏆 Azure AI Engineer Associate (AI-102)
🥇 Generative AI / LLM Specialization
🥈 AWS Certified Solutions Architect
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𝗟𝗲𝘁'𝘀 𝗯𝘂𝗶𝗹𝗱 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸𝘀.
Send me a message with what you're building. I'll tell you in 24 hours whether I can help & how.
Steps for completing your project
After purchasing the project, send requirements so Rams can start the project.
Delivery time starts when Rams receives requirements from you.
Rams works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Discussion
We clarify your idea, target users & core MVP features.
MVP Planning
I define the architecture, tech stack, and development scope.