You will get AI Recommendation System for personalized user experiences
Rising Talent
Project details
I build high-performance recommendation engines in Python using advanced machine learning. You get a system that delivers the right product or content to the right user, increases engagement, and drives revenue.
What I offer:
Content-Based Filtering: Works with limited user data using item attributes.
Collaborative Filtering: Predicts preferences based on user behavior.
Hybrid Systems: Combines both for maximum accuracy and solves cold start issues.
Performance Optimization: Tested with RMSE, Precision@K, and Recall.
From a simple “Trending Items” feature to a full personalized feed like Netflix or Amazon, I build scalable solutions ready to deploy.
What I offer:
Content-Based Filtering: Works with limited user data using item attributes.
Collaborative Filtering: Predicts preferences based on user behavior.
Hybrid Systems: Combines both for maximum accuracy and solves cold start issues.
Performance Optimization: Tested with RMSE, Precision@K, and Recall.
From a simple “Trending Items” feature to a full personalized feed like Netflix or Amazon, I build scalable solutions ready to deploy.
AI Development Type
Deep Learning, Model Tuning, Recommendation SystemAI Tools
Amazon SageMaker, Azure Machine Learning, deeplearn.js, Keras, MATLAB, MLflow, OpenCV, PyTorch, Sonnet, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$90
|
Standard
$300
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 1 |
AI Model Integration | - | ||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | - |
Model Documentation | - | - | |
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $200
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JF
Johan Henrik F.
Jul 15, 2026
Freelancers: honest review of an AI job-analysis tool (~30 min, $10)
Great and valuable feedback.
RS
Ramon S.
Apr 17, 2026
AI Engineer for Daily Widget Development
I would highly reccomend using Iqra for your projects! She was fast and professional.
About Iqra
Senior AI Solutions Architect | LLMs, CV, MLOps & Agentic Systems
100%
Job Success
Chiniot, Pakistan - 9:10 pm local time
1. What I Build
AI-powered MVPs and SaaS applications
LLM-powered applications and RAG systems
AI agents and intelligent automation workflows
Machine learning and deep learning solutions
NLP and computer vision applications
Recommendation systems
Healthcare AI applications
AI APIs and full-stack AI products
Production deployment and MLOps
2. How I Work
With a BS in Artificial Intelligence, I’ve built my foundation across machine learning, deep learning, NLP, computer vision, reinforcement learning, recommendation systems, generative AI, and MLOps. I don’t see AI as simply plugging an API into an app. I start with the problem, understand what actually needs to be solved, choose the right approach, build and evaluate the AI system, and then turn it into something that works reliably in a real application.
What I Can Handle
• AI/ML Development: Building, training, evaluating, and improving machine learning and deep learning models
• Data & Model Pipeline: Data preprocessing, feature engineering, model selection, training, and evaluation
• LLM Applications: LLM integration, RAG pipelines, embeddings, vector search, and context-aware applications
• AI Agents: Agent workflows, tool integration, reasoning pipelines, and task automation
• NLP & Computer Vision: Building AI systems for language, image, and real-world visual problems
• Model Optimization: Improving model performance, accuracy, reliability, and inference efficiency
• AI Application Development: Turning AI models into usable applications through APIs and backend systems
• Deployment & MLOps: Docker, Kubernetes, model deployment, ML pipelines, monitoring, and production workflows
• End-to-End AI Systems: Connecting the data, model, backend, application, and deployment into one working system
AI Foundation
My foundation comes from a BS in Artificial Intelligence, where I studied AI from both the theoretical and practical side. This includes understanding how models work, how to choose and evaluate the right approach for a problem, and how to take those concepts into real applications. My academic work has covered areas ranging from machine learning and deep learning to NLP, computer vision, reinforcement learning, recommendation systems, knowledge representation and reasoning, healthcare AI, and MLOps.
Selected AI Work
Skin Cancer Detection: Deep learning based medical imaging system with explainability
AI Recommendation System: Personalized recommendations using machine learning
Healthcare AI: AI solutions for medical image analysis and clinical applications
AI Report Matching: Semantic matching and intelligent retrieval for complex report requirements
AI Agents & RAG: LLM based applications with retrieval and intelligent workflows
Steps for completing your project
After purchasing the project, send requirements so Iqra can start the project.
Delivery time starts when Iqra receives requirements from you.
Iqra works on your project following the steps below.
Revisions may occur after the delivery date.
Data Cleaning & EDA
I will clean the provided dataset, handle missing values, and perform Exploratory Data Analysis (EDA) to understand user behavior patterns.
Model Development
I will build the recommendation algorithm (Collaborative Filtering, Content-Based, or Hybrid) tailored to your specific data structure.