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Português
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I will build a custom ai recommendation system
Abdullah Rao
Sobre este Serviço
Turn Your App into an AI-Powered Machine!
Are you looking to integrate powerful AI features or build a custom recommendation engine for your platform? You are in the right place! I am a Full-Stack Software Engineer specializing in bridging modern web architecture with Artificial Intelligence.
What I Can Do For You:
- Custom Recommendation Systems: I build content-based filtering algorithms (TF-IDF, Cosine Similarity, Vector Embeddings) to recommend the perfect products, posts, or media to your users.
- AI API Integrations: Seamlessly connect Hugging Face, custom ML models, or third-party AI into your existing web applications.
- Smart Databases: Setup PostgreSQL with pgvector for advanced AI search and lightning-fast data retrieval.
- Full-Stack AI SaaS: End-to-end development combining a Next.js frontend with a robust Python/FastAPI backend.
My Tech Stack:
- AI & Backend: Python, FastAPI, Node.js, Scikit-Learn, Hugging Face
- Frontend: Next.js, React.js, TypeScript, Tailwind CSS
- Databases: PostgreSQL, pgvector, MongoDB
IMPORTANT: Every AI project is unique! Please send me a quick message before placing an order so we can discuss your specific data and vision.
Conheça mais sobre Abdullah Rao
Abdullah Rao
Full Stack Software Engineer, NextJS and AI
- A partir dePaquistão
- Membro desdemar. de 2026
- Responde em aprox.:1 hora
Idiomas
Urdu, Inglês
I am a Full-Stack Software Engineer & Computer Engineering student who bridges the gap between modern web architecture and Artificial Intelligence. I specialize in building high-performance, scalable applications.
My Expertise:
• Frontend: React, Next.js, Tailwind
• Backend: Node.js, Express, Python, FastAPI
• Databases: PostgreSQL, pgvector
• Specialty: Custom AI Recommendation Systems & API Integration
Whether you need a complex backend built from scratch or modern AI features integrated into your platform, let's build something great together!
Perguntas frequentes
Can you integrate the AI into my existing website?
Yes! I can build a decoupled Python or FastAPI microservice that your current website can easily talk to via secure REST APIs, regardless of what frontend technology you are currently using.
What kind of data do you need from me to build the recommendation engine?
For a custom content-based filtering system, I will need a database or spreadsheet of your items (products, articles, user profiles, etc.) that includes descriptions, tags, or categories. We can discuss the formatting before starting!
What technologies do you use for the AI backend?
I primarily use Python with FastAPI for a lightning-fast backend. For the machine learning and data side, I use libraries like Scikit-Learn (for TF-IDF and Cosine Similarity) and PostgreSQL with pgvector for highly efficient vector storage.
What is the difference between the Basic and Standard packages?
The Basic package connects your application to an already existing third-party AI model (like a Hugging Face API). The Standard package is much more advanced: I will write a custom Machine Learning algorithm tailored specifically to your business's own data.
Do you provide the source code?
Absolutely. You will receive the complete, well-documented source code for the frontend, backend, and the AI models/integrations upon project completion.
