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$
USD
I will build a personalized ai recommendation system for your website or app
AI ML Engineer
I am an AI and Machine Learning Engineer with a strong background in web development, bringing over 4 years of experience in building scalable web applications and 2 years in developing AI driven syst...
About this Gig
Are your users seeing generic content while your competitors personalize everything? I build AI recommendation engines that learn from real user behavior and surface the right products, content, or experiences to the right person, at the right time.
Whether you are running an e commerce platform, SaaS product, or content driven application, I design Recommendation Engine tailored to your data, users, and business objectives.
What I Build
- Product recommendations for e-commerce
- Content personalization for media platforms
- Course recommendations for ed-tech apps
- Hybrid collaborative + content-based models
- Cold-start solutions for new users
- API-ready delivery for any tech stack
- Scalable and production ready solutions designed for performance and future growth
- Clean, maintainable, and well documented Python code that is easy to integrate
Best For:
- E-commerce platforms
- SaaS and web applications
- Media and content platforms
- E learning systems
No data yet? No problem, I'll design a cold-start strategy that improves as data grows.
Message me before ordering to discuss your requirements and ensure the best results.
Programming language:
Python
•
R
•
SQL
•
Java
•
NoSQL
Frameworks:
Scikit-learn
•
DeepPy
•
Keras
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
OpenCV
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TensorFlow
•
Colab
My Portfolio
FAQ
What data do I need to provide for building the recommendation engine?
To build an effective recommendation system, I typically need user data such as interactions, preferences, clicks, or ratings, along with item data like features, categories, or metadata. If you do not have this data available yet, I can guide you on data collection and handle preprocessing to prepa
Can this be integrated into my website or application?
Yes. The recommendation system can be delivered as a backend service, API, or standalone model that integrates with web apps, mobile apps, or existing systems.
Can you improve the accuracy of an existing recommendation engine?
Yes. I can analyze your current recommendation system and improve its accuracy through performance evaluation, feature optimization, hyperparameter tuning, and advanced modeling approaches such as hybrid or deep learning based techniques, depending on your data and goals.
What technologies do you use
I primarily use Python along with modern machine learning libraries and frameworks suitable for scalable and production ready systems and can also integrate with already created backends.
Will I receive the source code and documentation?
Yes. You will receive the complete source code along with clear and detailed documentation. The code is well structured, easy to understand, and documented to support future updates, maintenance, or improvements.
What if my app does not collect user interaction data yet?
No problem. I can help you design a data collection strategy and start with content based or rule assisted recommendations that improve over time as user data becomes available.
Do I need to message you before ordering?
Yes. Messaging before ordering helps ensure we are best fit and help us design the best approach, timeline, and deliverables for your specific use case.
Will the system be scalable?
Yes. The solution is designed to handle growth and can be optimized further based on your traffic and data volume.
Do you offer support after delivery?
Yes. I offer post delivery support and can also provide ongoing improvements through custom orders.
