You will get AI-Powered Feature Integration - OpenAI, Gemini & RAG Implementation
Project details
Transform Your SaaS with AI-Powered Intelligence
Integrate cutting-edge AI capabilities into your application with OpenAI, Gemini, and advanced AI features.
✨ What I Offer:
OpenAI & Gemini API Integration with error handling
RAG (Retrieval-Augmented Generation) for context-aware responses
LangChain workflows for complex AI processes
Vector database setup (Pinecone, Weaviate)
Prompt engineering and cost optimization
🎯 Real-World Experience:
Built bridgemedia.ai - an enterprise AI platform with microservices on GCP, multi-model AI orchestration, RAG implementation, and real-time content generation.
🛠 Tech Stack:
AI: OpenAI, Gemini, LangChain, Pinecone, Temporal
Backend: Node.js, NestJS, TypeScript
Frontend: React, Next.js
Databases: PostgreSQL, MongoDB, Redis
Cloud: AWS, GCP, Vercel
📦 Deliverables:
✓ Production-ready code
✓ Comprehensive documentation
✓ API usage tracking
✓ Cost optimization strategies
✓ Testing & error handling
✓ Post-delivery support
💡 Perfect For:
SaaS platforms, AI chat/assistants, content generation, document analysis, semantic search, AI recommendations, automated support.
Integrate cutting-edge AI capabilities into your application with OpenAI, Gemini, and advanced AI features.
✨ What I Offer:
OpenAI & Gemini API Integration with error handling
RAG (Retrieval-Augmented Generation) for context-aware responses
LangChain workflows for complex AI processes
Vector database setup (Pinecone, Weaviate)
Prompt engineering and cost optimization
🎯 Real-World Experience:
Built bridgemedia.ai - an enterprise AI platform with microservices on GCP, multi-model AI orchestration, RAG implementation, and real-time content generation.
🛠 Tech Stack:
AI: OpenAI, Gemini, LangChain, Pinecone, Temporal
Backend: Node.js, NestJS, TypeScript
Frontend: React, Next.js
Databases: PostgreSQL, MongoDB, Redis
Cloud: AWS, GCP, Vercel
📦 Deliverables:
✓ Production-ready code
✓ Comprehensive documentation
✓ API usage tracking
✓ Cost optimization strategies
✓ Testing & error handling
✓ Post-delivery support
💡 Perfect For:
SaaS platforms, AI chat/assistants, content generation, document analysis, semantic search, AI recommendations, automated support.
Programming Languages
PHP, JavaScript, PythonWhat's included
| Service Tiers |
Starter
$250
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 14 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
6 reviews
(6)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
MS
Masum S.
May 18, 2023
Senior NodeJS/Express with React developer needed -$1500 / month - 2 months project
Zeeshan worked with us over a year, and we were very happy with his performance. Will hire again.
EM
Ellen M.
May 8, 2023
Automation Testing using typescript with React Redux framework and testing frameworks Jest & Enzyme
Highly recommend
MY
Manmohan Y.
Apr 5, 2023
Node JS Developer for long term project
EL
Ernest L.
Sep 20, 2021
NodeJS Engineer (Expressjs, NestJS, Typescript, Docker, AWS)
HG
Hazim G.
Dec 26, 2020
Website Development - Telecom - Phase 1
About Zeeshan
Lead AI Engineer | LLM Apps | RAG | Agents | Full Stack
Lahore, Pakistan - 6:10 pm local time
If you're building something with AI, this is probably the right profile.
I work with founders and CTOs who want to ship AI products fast. Not just ideas. Actual working systems. Multi-agent workflows, LLM-powered APIs, RAG pipelines, full automations. I've done this across real products that went to production, not just side projects. I helped one SaaS team go from zero to a working AI product in under 3 weeks.
I also use AI-assisted development heavily in my own workflow. So when I say I ship fast, I mean it.
I'm full stack so I can own the entire product if needed. On the frontend I work with React, TypeScript and Tailwind. On the backend NestJS and Node.js are my home. Nine years in. I've built monorepos, microservices, event-driven architectures, OAuth and JWT flows, payment integrations, you name it. Clean code, proper structure, things that don't fall apart six months later.
For AI work I've used OpenAI, Anthropic, LangChain, Pinecone and Fal.ai in production environments. I know how to pick the right model for the right job, how to keep costs sane, and how to build systems that actually scale.
My core stack covers NestJS and Node.js on the backend, PostgreSQL, MongoDB and Redis for data, AWS for infrastructure, React and TypeScript on the frontend, and Auth via Cognito, Firebase or OAuth2 depending on what makes sense for the project.
I've shipped across SaaS, Fintech, EdTech, Healthcare and AI platforms. I don't need constant check-ins. Give me the problem and I'll figure out the right way to build it.
Let's build it. Send me a message.
Steps for completing your project
After purchasing the project, send requirements so Zeeshan can start the project.
Delivery time starts when Zeeshan receives requirements from you.
Zeeshan works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement gathering / analysis
I will analyze the requirements and check the fasibility as well
Execution
Will execute on requirments and will stay connected to client every day for updates