You will get a Production-Ready Multi-Tenant AI SaaS Application with Full Backend
Project details
I build multi-tenant AI SaaS products end to end from architecture to deployment. Using FastAPI, Next.js, PostgreSQL and OpenAI, I deliver secure, scalable apps with user auth, Stripe billing, AI chat, RAG knowledge bases and full cloud deployment on AWS or GCP.
Programming Languages
HTML & CSS, PythonWhat's included
| Service Tiers |
Starter
$2,000
|
Standard
$3,500
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 20 days | 29 days | 40 days |
Number of Revisions | 0 | 1 | 2 |
Number of Pages | 4 | 8 | 15 |
Design Customization | |||
Content Upload | - | ||
Responsive Design | - | ||
Source Code |
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GS
Gureey S.
May 13, 2026
Need AI Automation Engineer to Scale Our System
I hired Asad to fix a critical call drop issue in my AI calling system. The problem was deep in the Twilio trunk configuration and he diagnosed it quickly, rebuilt everything from scratch and tested it thoroughly. All calls are now completing successfully with no drops. Beyond just fixing the bug, he also helped scale the system for higher volume. He communicated clearly at every step and delivered ahead of schedule. One of the most technically strong developers I've worked with in AI automation. Will definitely hire again for future projects.
About Asad
AI Engineer | Agentic AI, LLM SaaS, Automation & RAG Systems
Lahore, Pakistan - 5:17 pm local time
I am a Senior AI Engineer with of hands-on experience shipping AI that runs reliably in the real world. If you have an idea for an AI agent, chatbot, or LLM feature and you want it built the right way tested, scalable, and ready for real users that's what I do.
WHAT I DO BEST
AGENTIC AI & MULTI-AGENT SYSTEMS
This is my main focus. I build AI agents that plan, make decisions, use
tools, and finish multi-step tasks on their own.
→ Multi-agent systems with LangGraph, LangChain, CrewAI, and AutoGen
→ RAG pipelines with Pinecone, Chroma, Weaviate, and pgvector
→ Agents that connect to your CRM, APIs, and databases
→ Long-term memory and stateful workflows
→ Human-in-the-loop review, monitoring, and safe fallbacks
GENERATIVE AI & LLM APPS
→ Custom LLM apps using GPT-4o, Claude, Gemini, Llama, and Mistral
→ RAG with hybrid search and reranking for accurate answers
→ Document intelligence: clean data from PDFs, Word, and scans
→ LLM evaluation, guardrails, and cost control so agents stay reliable
AI VOICE AGENTS & CHATBOTS
→ Inbound and outbound voice agents (Vapi, Retell, ElevenLabs, Twilio)
→ 24/7 call handling, booking, and smart human handoff
→ Website and WhatsApp chatbots for leads and support
→ Multilingual chat and voice
AI AUTOMATION & INTEGRATION
→ Lead follow-up across Email, SMS, and WhatsApp
→ CRM and pipeline automation (HubSpot, Salesforce, GoHighLevel)
→ AI integrated into your existing web apps, CRMs, and tools via API
→ Tools: n8n, Make, Zapier, and custom API integrations
LLM FINE-TUNING & CUSTOM MODELS
→ Fine-tuning open models (Llama, Mistral) with LoRA and QLoRA
→ Prompt engineering and instruction tuning for better accuracy
→ Custom embeddings and domain-specific model training
→ Evaluation pipelines to measure and improve model quality
COMPUTER VISION & OCR
→ Image classification, object detection, and segmentation
→ OCR and document parsing from PDFs, scans, and photos
→ Custom vision model training and fine-tuning
→ Vision pipelines integrated into your apps and workflows
BACKEND & AI SAAS DEPLOYMENT
Good AI needs a solid backend. I build the infrastructure that keeps it
running at scale.
→ FastAPI, Django, and Flask backends
→ Multi-tenant AI SaaS with authentication and billing
→ Real-time AI streaming with WebSockets
→ PostgreSQL, MongoDB, Redis, and Supabase
→ Docker, AWS, GCP, and CI/CD deployments
TECH STACK
AI: LangGraph, LangChain, CrewAI, AutoGen, OpenAI, Anthropic, Hugging Face, PyTorch
LLMs: GPT-4o, Claude, Gemini, Groq, Mistral, Llama
Vision: OpenCV, YOLO, PyTorch, Tesseract, Roboflow
Backend: Python, FastAPI, Django, Flask
Data: PostgreSQL, MongoDB, Redis, Supabase, Pinecone, Chroma, Weaviate
Cloud: AWS, GCP, Docker, Railway, GitHub Actions
Voice: Vapi, Retell, ElevenLabs, Synthflow, Bland
LET'S TALK
Send me your use case and I'll tell you honestly if it's a good fit, how
I'd build it, and what it takes to get it running in production.
Keywords: AI Engineer, Full-Stack AI Engineer, AI Agent Developer, AI
Automation Engineer, Voice AI Developer, AI Chatbot Developer, Generative
AI, LLM Developer, RAG Developer, LangChain Developer, LangGraph,
Multi-Agent Systems, GPT Developer, OpenAI API, Claude API, AI Integration,
AI SaaS Development, FastAPI Developer, Django Developer, Python Developer,
Prompt Engineering, Fine-Tuning, Computer Vision, n8n Developer, Vapi,
Retell AI, ElevenLabs, Conversational AI, Document AI, OCR
Steps for completing your project
After purchasing the project, send requirements so Asad can start the project.
Delivery time starts when Asad receives requirements from you.
Asad works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements gathering
tech stack, features, user roles and AI capabilities confirmed
Architecture design
database schema, API structure and AI pipeline planned