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You will get audit of your AI/ML system, i'll deliver a production readiness report
Project details
Your AI or ML system works in development but will it survive real users, real data, and real scale?
Most ML systems fail in production not because the model is bad, but because infrastructure, deployment, and monitoring aren't production-ready.
I'll audit your system and give you a straight answer: what's solid, what will break, and exactly what to fix.
𝗪𝗵𝗮𝘁 𝗜'𝘃𝗲 𝗙𝗼𝘂𝗻𝗱 𝗶𝗻 𝗣𝗮𝘀𝘁 𝗔𝘂𝗱𝗶𝘁𝘀:
• ML models with zero monitoring, silently degrading for months
• RAG pipelines with prompt injection vulnerabilities in production
• SageMaker endpoints burning $4K/month with no autoscaling configured
• LLM APIs with hardcoded keys committed to public GitHub repos
• FastAPI backends with no rate limiting deployed to live products
• Don't find out the hard way. Let me find it first.
𝗪𝗵𝗼 𝗧𝗵𝗶𝘀 𝗜𝘀 𝗙𝗼𝗿:
• Startups preparing an AI product for launch or investor demo
• Teams whose ML model works in notebooks but breaks in production
• Businesses with an existing AI system with reliability or cost issues
• Founders who inherited a codebase and need to know what they have
• Engineers who want a senior second opinion before committing to an architecture
Most ML systems fail in production not because the model is bad, but because infrastructure, deployment, and monitoring aren't production-ready.
I'll audit your system and give you a straight answer: what's solid, what will break, and exactly what to fix.
𝗪𝗵𝗮𝘁 𝗜'𝘃𝗲 𝗙𝗼𝘂𝗻𝗱 𝗶𝗻 𝗣𝗮𝘀𝘁 𝗔𝘂𝗱𝗶𝘁𝘀:
• ML models with zero monitoring, silently degrading for months
• RAG pipelines with prompt injection vulnerabilities in production
• SageMaker endpoints burning $4K/month with no autoscaling configured
• LLM APIs with hardcoded keys committed to public GitHub repos
• FastAPI backends with no rate limiting deployed to live products
• Don't find out the hard way. Let me find it first.
𝗪𝗵𝗼 𝗧𝗵𝗶𝘀 𝗜𝘀 𝗙𝗼𝗿:
• Startups preparing an AI product for launch or investor demo
• Teams whose ML model works in notebooks but breaks in production
• Businesses with an existing AI system with reliability or cost issues
• Founders who inherited a codebase and need to know what they have
• Engineers who want a senior second opinion before committing to an architecture
Machine Learning Tools
PythonWhat's included $2,000
These options are included with the project scope.
$2,000
- Delivery Time 5 days
- Number of Revisions 3
- Number of Scenarios 5
- Number of Graphs/Charts 8
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
Optional add-ons
You can add these on the next page.
Fast 3 Days Delivery
+$1,000
Additional Scenario
(+ 1 Day)
+$500Frequently asked questions
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About Amir
Full-Stack AI Developer | Next.js, React, MongoDB | AI Integration
74%
Job Success
Lahore, Pakistan - 2:40 pm local time
I'm Amir, a Full-Stack Developer who builds scalable, production-ready web applications using Next.js, React, and MongoDB, with AI and automation baked in where it drives real business results.
I don't just ship code. I ship products that make money, save time, and scale.
✅ WHAT I BUILD
🔹 Full-Stack Web Applications (Next.js, React, Node.js, MongoDB)
🔹 AI-Powered SaaS Platforms (OpenAI, Claude, RAG, LangChain)
🔹 Shopify Apps & E-commerce Integrations
🔹 Trading Platforms & FinTech Dashboards
🔹 Custom APIs & Third-Party Integrations (Stripe, Twilio, HubSpot)
🔹 Workflow Automations (Zapier, Make, n8n)
🔹 MongoDB Architecture, Migrations & Optimization
🔹 MVP Development for Startups & Founders
💼 RECENT PROJECT HIGHLIGHTS
✅ Built a real-time trading platform UI with complex charting & live data streaming, handled thousands of concurrent users
✅ Architected & executed a large-scale MongoDB migration for a SaaS platform without downtime, improving query performance by 40%
✅ Developed Shopify apps and custom integrations that automated inventory, orders, and customer flows for e-commerce brands
✅ Integrated OpenAI-powered features (chat, search, recommendations) into production web apps used by real customers daily
🛠️ CORE TECH STACK
Frontend: Next.js, React, TypeScript, Tailwind CSS, Redux
Backend: Node.js, Express, FastAPI, Python, REST, GraphQL
Database: MongoDB, Mongoose, PostgreSQL, Supabase, Firebase
AI & LLMs: OpenAI, Claude, LangChain, RAG, Vector DBs, Pinecone
Automation: Zapier, Make, n8n, Custom Workflow Engines
E-commerce: Shopify API, Shopify Apps, Stripe, WooCommerce
DevOps: Vercel, AWS, Docker, Git, CI/CD, GitHub Actions
Integrations: Stripe, Twilio, HubSpot, Salesforce, OpenAI API, Webhooks
🌟 WHY CLIENTS RE-HIRE ME
🔹 Top 1% on Upwork, 100% Job Success across 100+ projects
🔹 I write clean, maintainable, well-documented code
🔹 I communicate proactively, no ghosting, no surprises
🔹 I own outcomes, not just tasks
🔹 I ship on time, or I tell you early if something changes
🔹 I speak business, not just code, I understand ROI
👥 WHO I WORK BEST WITH
✅ Startup founders building MVPs and V1 products
✅ SaaS companies scaling AI features into existing platforms
✅ E-commerce brands needing custom Shopify apps or automations
✅ FinTech / trading companies building real-time dashboards
✅ Agencies needing a reliable senior developer for client projects
🚀 MY PROCESS
1️⃣ Discovery Call - I understand your goals, users, and constraints
2️⃣ Clear Proposal - Scope, timeline, milestones, honest pricing
3️⃣ Rapid Development - Weekly demos, daily updates, no black boxes
4️⃣ Production Launch - Tested, documented, ready to scale
5️⃣ Post-Launch Support - I don't disappear after delivery
📩 LET'S TALK
If you're building something serious and want a senior developer who genuinely cares about your outcome, let's talk.
Send me a message with:
1. What you're building (or what's broken)
2. Your timeline & rough budget
3. Any relevant docs, links, or designs
I respond within a few hours with a clear plan and honest assessment of whether I'm the right fit.
Looking forward to building something great together.
Steps for completing your project
After purchasing the project, send requirements so Amir can start the project.
Delivery time starts when Amir receives requirements from you.
Amir works on your project following the steps below.
Revisions may occur after the delivery date.
Materials
You submit materials: Share your GitHub/GitLab repo link, architecture diagrams, or detailed written description. NDA available on request.
Audit
I conduct the audit: Systematic review across all dimensions for your package tier.