Transform your business with AI-powered recommendation engines that not only deliver personalized suggestions but also foster user trust and engagement. Specializing in explainable recommendations (XAI), I design intelligent systems where users understand why they receive choices, can provide feedback, and feel confident interacting with your platform.
With a deep background in AI and success across diverse industries, I deliver solutions leveraging cutting-edge machine learning and natural language processing. My focus on user feedback and trust mechanisms ensures your recommendation engine is transparent and adapts to real user needs.
Key services include:

• Design and implement recommendation engines with explainable AI methods for transparency and trust
• Integrate robust user feedback tools, enabling users to rate, comment, or correct recommendations
• Engineer personalized algorithms using frameworks like TensorFlow, PyTorch, and scikit-learn
• Facilitate continual learning from user input to refine recommendations over time
• Build trust dashboards, so users see and control why recommendations are made
• Conduct validation to optimize accuracy, relevance, and fairness in recommendations
• Offer strategy consulting for designing trustworthy, compliant AI interaction ecosystems
• Provide ongoing support for refinement, maintenance, and user engagement analysis

Whether you aim to boost user retention, increase conversion, or meet strict compliance requirements, my solutions are crafted for measurable business growth and lasting user confidence.