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Fiverr Pro
English
$
USD
I will build personalized ai recommendation systems for ecommerce, saas and apps
AI ML Engineer
I'm an AI/ML Engineer who helps startups and businesses turn ideas into production-ready AI systems that save time, reduce costs, and drive growth. I specialize in AI agents, workflow automation, RAG ...
About this Gig
Are your users seeing generic content while your competitors deliver personalized experiences?
An AI recommendation system helps users discover the right products or content, boosting engagement, retention, and conversions.
I build custom AI recommendation engines tailored to your business, data, and users. Whether you're launching a new platform or improving an existing one, I'll develop a scalable solution that fits your goals
What You'll Get
- Product recommendations for e-commerce
- Content personalization for media & streaming platforms
- Course recommendations for eLearning applications
- Collaborative, Content-Based & Hybrid recommendation models
- Cold-start strategies for new platforms and users
- Data preprocessing, model development & optimization
- REST API integration and deployment-ready solutions
- Clean, scalable, well-documented code
Why Work With Me?
- End-to-end recommendation system development
- Production-ready, scalable architecture
- Free Post Delivery Support
No data yet? No problem, I'll design a cold-start strategy that improves as data grows
Message me before ordering with your platform details, business goals, or dataset, and I'll recommend the best approach for you
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.
