You will get AI to Your SaaS — Chatbot, RAG Search, or AI Agents
Project details
Your SaaS doesn't need a demo. It needs an AI feature your users will actually use — and your infrastructure can actually handle.
I’ve shipped production AI systems that boosted engagement by 170% and saved clients 20+ hours/week. As a founder (5 products, 1 acquired for $5M+, AI co-founder with $325K raised), I don’t just code — I architect AI that scales safely.
3 Core AI Features I Build:
🤖 AI Chatbot – Context-aware assistants with memory, guardrails, and fallbacks.
🔍 RAG Search – Natural language search over docs/knowledge bases (LangChain + vector DBs).
⚙️ AI Agents – Automated workflows (n8n + LangChain) that trigger, not just prompt.
Why I’m different:
✅ Production-ready: error handling, cost controls, rate limiting
✅ Honest advice: I’ll tell you what not to build with AI
✅ Founder-to-founder: trade-offs in cost, UX, and maintainability — not just code
Stack: LangChain, OpenAI/Claude/Gemini, Pinecone, Supabase, Python/Node.js, React, Next.js, n8n, AWS/Azure/Vercel.
I’ve shipped production AI systems that boosted engagement by 170% and saved clients 20+ hours/week. As a founder (5 products, 1 acquired for $5M+, AI co-founder with $325K raised), I don’t just code — I architect AI that scales safely.
3 Core AI Features I Build:
🤖 AI Chatbot – Context-aware assistants with memory, guardrails, and fallbacks.
🔍 RAG Search – Natural language search over docs/knowledge bases (LangChain + vector DBs).
⚙️ AI Agents – Automated workflows (n8n + LangChain) that trigger, not just prompt.
Why I’m different:
✅ Production-ready: error handling, cost controls, rate limiting
✅ Honest advice: I’ll tell you what not to build with AI
✅ Founder-to-founder: trade-offs in cost, UX, and maintainability — not just code
Stack: LangChain, OpenAI/Claude/Gemini, Pinecone, Supabase, Python/Node.js, React, Next.js, n8n, AWS/Azure/Vercel.
AI Algorithms
Autoencoder, Convolutional Neural Network, Feedforward Neural Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer Model, YOLOAI Applications
AI Chatbot, AI Mobile App Development, AI-Generated Code, AIOps, Anomaly Detection, Automatic Speech Recognition, Conversational AI, Facial Recognition, Image Processing, Natural Language Understanding, Sentiment Analysis, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, PyTorch, TensorFlowAI Models
GPT-4, LLaMA, OpenAI Codex, Stable DiffusionWhat's included
| Service Tiers |
Starter
$799
|
Standard
$1,999
|
Advanced
$3,499
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
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 |
Frequently asked questions
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NE
Nikolas E.
Oct 5, 2025
Solution Architect - AI-Powered SaaS Platforms
CS
Carsten S.
Nov 8, 2022
Code Review: C# and Facebook Graph returns always an error with accounts other than test account
Maksud and his teammate did a live debugging in our code with me and gave clear and actionable suggestions on where we must improve our code to get it working. These guys have an outstanding experience with Facebook Graph API, and by implementing their suggestions, I got our code working. Thanks a lot for your quick, friendly, and flexible help!
BS
Brian S.
Jul 7, 2021
Developer needed to maintain Xamarin.Android app and port app to Xamarin.iOS
Maksud and the Xpert Solvers team deliver above expectations. Very good quality of work. Maksud helped with application architecture and performance improvement suggestions that resulted in making the application better. Looking forward to continued work with Maksud and his team on other projects.
PH
Phuong H.
Oct 13, 2020
Import Tool
The team at Xpert Solvers are a pleasure to deal with. They are very smart, hardworking and honest individuals. Their skills and expertise have been very important in helping us deliver a great solution. Thanks again team and we highly recommend Xpert Solvers to you for future projects.
MD
Matt D.
Sep 14, 2020
Developer needed to fix 5 bugs on website recently transferred over to Azure
Above and beyond expectations. Highly knowledgeable, responsive and completes all tasks proficiently. Highly recommended!
About Maksud Ul
CTO/Architect | AI Native Full Stack Engineer | SaaS, MVP, Claude, RAG
Dhaka, Bangladesh - 1:22 am local time
5 SaaS built, $325K raised, Founders of a product exit at $5M+, Fortune 500 delivery (John Hancock, Manulife, Unilever), 5,400+ Upwork hrs with 100% JSS.
I help non-technical founders and scaling startups avoid the expensive mistakes I've already made. Whether you need an honest architecture audit, an AI feature integrated into your SaaS, or a technical partner to take you from MVP to production — I've done it, shipped it, and sold it.
WHERE I ADD THE MOST VALUE:
🔹 Fractional CTO for Non-Technical Founders — Independent technical oversight, architecture reviews, developer evaluation, launch readiness audits, and protection from cost overruns (API bills, bad code, security gaps). I speak both founder and engineer.
🔹 AI Integration into Existing SaaS — LangChain-powered chatbots, RAG-based document search, AI agents, and intelligent automation that actually work in production. Not demos. Real systems that have increased user engagement by 170%.
🔹 Multi-Tenant SaaS Development (MVP → Scale) — Full architecture to deployment: auth, billing (Stripe), tenant isolation, CI/CD, observability. I take founders from an idea to a deployed MVP in 4–8 weeks with weekly demos.
🔹 AI Automation Workflows (n8n + LangChain) — Event-driven pipelines connecting CRMs, email, support tools, and custom APIs. Clients typically save 20+ hours/week and cut operational costs by 70%.
WHY FOUNDERS HIRE ME:
✅ $100K+ earned on Upwork | 100% Job Success | Top Rated Plus
✅ 5 SaaS products built from scratch — 1 acquired for $5M+
✅ Co-founded CommEngine (AI platform) — raised $325K, team of 15+
✅ 20 years in software | 67+ businesses served
✅ I've been in your seat: raised capital, hired teams, shipped to market, and exited
TECH STACK:
• AI: LangChain, LangGraph, OpenAI, Claude API, RAG, Pinecone, AI Agents
• Backend: Python/FastAPI, Node.js/NestJS, C#/.NET, Go
• Frontend: React, Angular, Next.js, TypeScript
• Data: Supabase, PostgreSQL, Redis, Elasticsearch
• Cloud: AWS, Azure, Docker, Vercel
• Automation: n8n, event-driven architecture, Kafka/RabbitMQ
WHO I WORK BEST WITH:
Non-technical founders who need a trusted technical partner. Early-stage SaaS companies going from MVP to scale. Established SaaS products adding AI features. Teams that have been burned by developers before and need someone who's built real products.
HOW TO START:
Send me your project details or the problem you're solving. I'll reply within a few hours with an honest assessment and a clear plan — including whether I'm the right fit. If I'm not, I'll tell you.
Steps for completing your project
After purchasing the project, send requirements so Maksud Ul can start the project.
Delivery time starts when Maksud Ul receives requirements from you.
Maksud Ul works on your project following the steps below.
Revisions may occur after the delivery date.
Access to your codebase
Your existing SaaS codebase access, database schema, API docs for any tools the agent should use
LLM API setup
OpenAI, Claude, or Gemini — your choice. System prompt engineering tuned to your product's context and tone. Full RAG pipeline: document ingestion → chunking → embedding → vector storage → retrieval → LLM response. Vector database setup.