You will get AI Managed Recommendation Engine Design & Implementation
Project details
Personalization is the foundation of engagement, loyalty, and growth.
This sprint delivers a custom recommendation engine that transforms your user data into real-time, intelligent suggestions —> increasing conversions, retention, and customer satisfaction.
I design scalable, production-ready systems that combine collaborative, content-based, and hybrid models, enhanced with modern embeddings (BERT, TensorFlow Recommenders) and behavioral analytics. Each model evolves with new data, learning continuously to improve accuracy and relevance over time.
You’ll receive a complete solution (including system architecture, trained models, evaluation metrics, and a clear integration roadmap) all tailored to your business goals.
Whether you’re running an e-commerce platform, media service, or SaaS product, this project helps you deliver the right content to the right users at the right time.
Turn static interactions into dynamic, data-driven experiences that boost engagement and deliver measurable ROI.
This sprint delivers a custom recommendation engine that transforms your user data into real-time, intelligent suggestions —> increasing conversions, retention, and customer satisfaction.
I design scalable, production-ready systems that combine collaborative, content-based, and hybrid models, enhanced with modern embeddings (BERT, TensorFlow Recommenders) and behavioral analytics. Each model evolves with new data, learning continuously to improve accuracy and relevance over time.
You’ll receive a complete solution (including system architecture, trained models, evaluation metrics, and a clear integration roadmap) all tailored to your business goals.
Whether you’re running an e-commerce platform, media service, or SaaS product, this project helps you deliver the right content to the right users at the right time.
Turn static interactions into dynamic, data-driven experiences that boost engagement and deliver measurable ROI.
AI Development Type
Deep Learning, Model Tuning, Recommendation SystemAI Tools
Amazon SageMaker, Keras, Open Neural Network Exchange, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$650
|
Standard
$1,450
|
Advanced
$2,650
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 14 days |
Number of Revisions | 1 | 2 | 4 |
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.
Additional Revision
+$225Frequently asked questions
About Rodrigo
Senior Data Scientist & AI Founder
Tokyo, Japan - 1:17 am local time
Over the past decade, I’ve co-founded and led AI ventures across Europe, the US, and Japan, building systems that search smarter, predict demand accurately, and personalize user experiences.
My expertise focuses on three applied AI pillars:
1. RAG & LLM Systems – Architecting retrieval-augmented generation pipelines that make enterprise knowledge instantly accessible, reducing manual search time and LLM inference costs.
2. Time-Series Forecasting – Designing demand prediction and stock optimization models for retail, logistics, and energy, driving efficiency and reducing waste.
3. Recommendation Engines – Delivering personalization systems that increase engagement and retention for media, SaaS, and e-commerce platforms.
Deep technical understanding (Python, PyTorch, TensorFlow, Qdrant, ColBERT, AWS/GCP) with business acumen from years of founding and scaling startups, fridging data science and product strategy to turn AI into tangible ROI.
Currently, Co-Founder & CTO of WhiteNarwhal Japan K.K. / Ikkaku AI Lab, an applied-AI company and incubator that helps startups and enterprises deploy production-ready AI systems; and of our first AI Lab spin-off company: Monju AI, a document-centered workspace powered by retrieval and multimodal AI.
Steps for completing your project
After purchasing the project, send requirements so Rodrigo can start the project.
Delivery time starts when Rodrigo receives requirements from you.
Rodrigo works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Data Review
Understand your data, users, and personalization goals.
Model Design & Training
Develop and fine-tune the right algorithm for your business case.