You will get a Browser/Chrome extension as your product.
Project details
A Chrome extension that enhances Email Productivity for Gmail developed using Node.js with microservices architecture. Right Inbox has multiple features that allow users to manage their emails efficiently and improve their overall experience. With more than 12k reviews, it has a rating of 4.6 on Chrome’s store and acquired a “Featured” badge because of its popularity.
Programming Languages
JavaScript, ASP.NET, C#Coding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$80
|
Standard
$250
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 30 days |
Number of Revisions | 1 | 1 | 3 |
Design Customization | - | ||
Content Upload | - | ||
Responsive Design | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$120 - $4,599
Additional Revision
+$200
3 reviews
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SM
Stu M.
Jul 9, 2024
Chrome Extension - Google Docs
Haseeb was excellent. Completed the work correctly and promptly in line with our tight deadline.
RZ
Ryan Z.
May 21, 2024
MongoDB Atlas Vector search and embedding using NodeJS
IS
Isana S.
May 9, 2024
Looking for a developer to integrate APIs
Exceptional freelancer, delivered high-quality work ahead of schedule, highly recommended.
About Haseeb
AI Systems Engineer | AI Agents, OpenAI, RAG & Workflow Automation
Lahore, Pakistan - 8:04 am local time
I build production AI systems that execute real business operations — integrating directly into workflows, APIs, and internal tools to automate work end-to-end.
I’m an AI Systems Engineer specializing in production-grade LLM architectures, AI agents, and scalable automation systems for startups and companies that need real execution — not experimentation.
My focus is simple:
Turn AI into infrastructure that runs parts of a business.
⚙️ What I build in production
• AI Agents that execute real workflows
(from decision-making to API actions, not just chat interfaces)
• RAG systems for private enterprise knowledge
(high-accuracy retrieval over structured + unstructured data)
• LLM applications using OpenAI, Claude & open-source models
(custom pipelines, tool calling, reasoning layers)
• AI copilots for internal operations
(support, sales, ops, analytics augmentation)
• Multi-agent systems for complex task orchestration
(workflow decomposition → execution pipelines)
• Voice AI systems for automated communication flows
(call handling, outbound automation, routing logic)
• End-to-end AI automation systems
(replacing manual processes inside real businesses)
• Full-stack AI SaaS products
(from architecture design to deployment & scaling)
🧠 How I think (this is what separates me)
I don’t build “features”.
I design AI systems architecture:
data flow → reasoning layer → tool execution → API integrations → deployment → monitoring → iteration loops
This ensures AI systems are:
reliable in production
scalable under load
integrated into real business operations
not dependent on fragile prompts
🧰 Core Engineering Stack
OpenAI API, Claude API, LangChain, LangGraph, LlamaIndex, Python, FastAPI, Node.js, React, PostgreSQL, Vector Databases (Pinecone / Weaviate), Redis, Docker, AWS
🎯 Why clients hire me
• I design systems that survive production, not demos
• I think in architecture, not prompts
• I reduce operational cost, not just add AI features
• I integrate AI into real business workflows
• I build with scalability and reliability in mind
🚀 Ideal projects I work on
• AI SaaS products (early-stage to scaling)
• Workflow automation platforms
• AI agents for operations / support / sales
• Enterprise RAG systems
• Internal AI copilots
• Multi-step AI decision systems
📩 Let’s work
If you’re building an AI product or automation system, share your idea.
I’ll respond with:
👉 architecture approach
👉 system design
👉 fastest production path
not just code — but how to build it correctly.
Steps for completing your project
After purchasing the project, send requirements so Haseeb can start the project.
Delivery time starts when Haseeb receives requirements from you.
Haseeb works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery call
A call required to understand project's scope.