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Project details
Transform your e-commerce catalog with intelligent product categorization. My AI solution automates product classification and taxonomy creation, handling catalogs from 1,000 to 1M+ products. Using advanced language models and semantic search, the system adapts to new categories automatically while preserving your existing classification logic.
The solution integrates seamlessly with your current e-commerce platform, improving product discovery and search accuracy. By combining GPT-4o with semantic embeddings, we ensure both new and existing products are categorized consistently, enhancing the shopping experience for your customers. Ready to organize your catalog efficiently? Let's talk.
The solution integrates seamlessly with your current e-commerce platform, improving product discovery and search accuracy. By combining GPT-4o with semantic embeddings, we ensure both new and existing products are categorized consistently, enhancing the shopping experience for your customers. Ready to organize your catalog efficiently? Let's talk.
Machine Learning Tools
BERT, MLflow, NLTK, NumPy, pandas, Python Scikit-Learn, scikit-learnWhat's included
| Service Tiers |
Starter
$500
|
Standard
$750
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 4 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 1 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 1 | 1 | 1 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code | - | - |
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GB
Ghadah B.
Aug 19, 2026
Automation Developer — WhatsApp + AI + Google Sheets Pipeline (4 Week Contract)
BrainBox delivered three automations for us, all exceptional and on time. We were relatively new to the world of automations when we started, so we came to them with a lot of questions and a lot of "Is this possible?" They were able to take all of that, make sense of it, and turn it into a practical plan: this is possible, this is how we would do it, and this is what we recommend. Then they went and built it. That gave me a huge amount of confidence throughout the process. I genuinely feel like I understand what is possible with automation now in a way I didn't before working with them.
They were also incredibly patient with what was probably an unreasonable number of questions, highly responsive throughout, and flexible enough to give us extra time to test everything with our customers before closing out the contract. They were always ready to hop on a Zoom call with us the moment we had a question, and that alone says a lot about how intentional they are in the way they work; which was just amazing. They not only executed exceptionally well, but they also helped us understand how to get from the outcome we wanted to the end result, laying out the process and the steps needed to actually make it happen.
Most importantly, they genuinely felt like part of our team, which we really appreciated. We're continuing with them for our next phase, and I think that says a lot about the experience we've had. Thank you, Muhammad, Ahmed, and the rest of the team.
They were also incredibly patient with what was probably an unreasonable number of questions, highly responsive throughout, and flexible enough to give us extra time to test everything with our customers before closing out the contract. They were always ready to hop on a Zoom call with us the moment we had a question, and that alone says a lot about how intentional they are in the way they work; which was just amazing. They not only executed exceptionally well, but they also helped us understand how to get from the outcome we wanted to the end result, laying out the process and the steps needed to actually make it happen.
Most importantly, they genuinely felt like part of our team, which we really appreciated. We're continuing with them for our next phase, and I think that says a lot about the experience we've had. Thank you, Muhammad, Ahmed, and the rest of the team.
mv
manny v.
Jul 4, 2026
vehicle tag with DB records workflow
We have a great experience working together in developing new AI projects. Mohammad’s team is very knowledgeable, deliver excellent quality of work and great work ethics. We hope to work together in a new AI project soon! Thank you for your contributions.
GC
Gabor C.
Jun 9, 2026
Enterprise AI Architect: Gemini 3.1 Pro RAG System with Gmail & WeChat Integration
Tahaa and the team did a great job. I pushed them quite hard throughout the project, but they remained patient and professional from start to finish.
Out of the five improvement areas we identified, they implemented three extremely well. The remaining two were partially completed, but after discussing them in detail, I believe the limitations were not really within their control, and we will likely find alternative solutions.
Their response time was good, communication was clear, and their overall attitude was positive. There were moments when we didn’t fully agree on certain points, but we were always able to discuss them openly and reach a reasonable solution.
Overall, it was a fair and professional collaboration, and I hope we will continue working together on future projects.
I can confidently recommend them to others. If you have realistic expectations, you will have a very good client experience. They helped in the evenings, responded during holidays, and were consistently supportive throughout the project.
Honestly, I can’t say anything negative. Sometimes their thinking was a little too “developer-minded,” but what else would you expect from programmers? :)
Fortunately, we understood each other well and worked through every challenge together.
Good people, and a pleasure to work with.
Out of the five improvement areas we identified, they implemented three extremely well. The remaining two were partially completed, but after discussing them in detail, I believe the limitations were not really within their control, and we will likely find alternative solutions.
Their response time was good, communication was clear, and their overall attitude was positive. There were moments when we didn’t fully agree on certain points, but we were always able to discuss them openly and reach a reasonable solution.
Overall, it was a fair and professional collaboration, and I hope we will continue working together on future projects.
I can confidently recommend them to others. If you have realistic expectations, you will have a very good client experience. They helped in the evenings, responded during holidays, and were consistently supportive throughout the project.
Honestly, I can’t say anything negative. Sometimes their thinking was a little too “developer-minded,” but what else would you expect from programmers? :)
Fortunately, we understood each other well and worked through every challenge together.
Good people, and a pleasure to work with.
GI
Gabriela I.
May 11, 2026
AI Automation & Systems Expert (Workflow, AI Assets, Sales Transcript Intelligence)
Muhammad and his team are exceptional AI devs! They know exactly what they are doing, and are super professional through every step of the way! They are amazing to work with overall!
KS
Krystian S.
Mar 17, 2026
Automation Expert for n8n Email-to-Task System
A super professional service. I am very satisfied. I will also use Brain Box for my next projects.
About Muhammad
AI Engineer | AI Agents, RAG & LLM Automation | Python, n8n, AWS
97%
Job Success
Islamabad, Pakistan - 12:37 pm local time
I'm an AI engineer working on AI agents, RAG systems, generative AI, and LLM automation. $100K+ earned on Upwork, 27 projects delivered, Top Rated, with production AI and enterprise software running for clients in healthcare, SaaS, and compliance-heavy industries.
Most clients find me after an AI prototype stalled before launch. I build systems that survive real users, real data, and real compliance requirements.
🤖 AI Agent Development
Multi-agent systems and autonomous workflows using LangGraph, CrewAI, AutoGen, and custom architectures. Agents that make decisions, call your APIs, process documents, and finish real business tasks end to end.
📚 RAG Systems & Enterprise Document Intelligence
Retrieval Augmented Generation pipelines over your documents and knowledge bases: semantic search, chat-with-your-data, enterprise document intelligence. I've built RAG systems searching 100,000+ documents with sub-second latency using Qdrant, Pinecone, ChromaDB, and FAISS, including fully on-premise, air-gapped deployments for compliance-heavy organizations.
🧠 LLM Integration & AI App Development
Production integration of OpenAI (GPT-4/GPT-5), Anthropic Claude, Gemini, Llama, and open-source models. This includes hybrid model routing that sends simple tasks to fast, cheap models and complex reasoning to heavier ones, which cuts inference cost without cutting quality. Chatbots, document processing, classification, and AI features inside existing products.
⚙️ AI Automation & Workflows
LLM-powered automation with n8n, Make, and Python: lead processing, data extraction, content pipelines, and internal tooling. If your team is copy-pasting between tools, I can probably automate it.
☁️ Cloud Infrastructure & AI Security
AWS (EC2, ECS, S3, Bedrock), GCP, Docker, Kubernetes. Scalable deployments, GPU inference, encrypted data pipelines, on-premise and air-gapped LLM deployments, role-based access control, and audit trails that hold up to enterprise review.
Recent work: a document intelligence platform with on-premise LLMs and SAP integration, and a multi-agent healthcare SaaS platform aggregating data from 32 medical directories with LLM-powered analysis and content generation.
How I work:
✅ Production code with testing, documentation, and monitoring
✅ Fixed-price milestones or clearly scoped hourly engagements
✅ Clear async communication and regular progress demos
✅ Ongoing optimization after deployment. Most clients retain me after the first build.
Stack: Python, FastAPI, LangChain, LangGraph, OpenAI API, Claude, Qdrant, Pinecone, PostgreSQL, Supabase, n8n, Make, AWS, GCP, Docker, Kubernetes, Enterprise Software, AI Automation
Tell me what you're building or trying to automate. You'll get specific questions about your use case back, not a copy-paste pitch.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Data Cleaning
Data Visualization