Latest Projects

Senior Data Scientist & ML Engineer working on Databricks & AWS cloud environment 



Global Scale Product Recommendations 

I've employed machine and deep learning to power product recommendation systems, which analyze user behavior to deliver personalized suggestions, boosting engagement and sales. 

In detail :

Achieving statistically significant improvements in Conversion Rate (CR) and Units Per Transaction (UPT), while maintaining a strong model explanatory power, flexibility, and adaptability to new domains.

Data Platform Extension


Data Science Technical PM & Senior Developer 

working on Google Cloud Platform. Retail and Manufacturing 


Data Science Lead

Retail and Consumer Goods / AI for Internal Optimization and Consumer Engagement


Major Retailer (2025) – AI Categorization for a Retailer’s Legal Office

Automatically retrieves new laws and regulations (e.g., Eurolex, Official Gazette) and categorizes them based on relevance to the retail industry, significantly reducing manual analysis efforts.


Major Retailer (2024) – Demand Forecasting for Retailer Promotional Campaigns

Predicts optimal stock levels during marketing campaigns to reduce waste and maximize sales, improving supply chain efficiency.


Major Retailer (2024) – Generative AI for Internal Workflows and Consumer Engagement

Launched five AI streams on Google Cloud (Gemini) to enhance internal operations, including legal team workflows and consumer engagement. Generative AI was also utilized to assist in inventory management and customer service improvements.



Luxury and Fashion / AI for Global Campaigns and Product Development

International Luxury Company (2024) – Generative AI & Translations for Global Marketing Campaigns

Utilized Google Cloud’s Vertex AI for generative AI models to support global marketing efforts. This included AI-powered translations, enabling seamless multilingual campaigns across different regions.


Luxury Jewelry Brand (2024) – AI for Jewelry Design and Cataloging

Leveraged generative AI to assist in modifying existing jewelry designs and generating new sketches. Additionally, AI was used for cataloging 20 years’ worth of design sketches, improving organization and accessibility.



Manufacturing and Industrial Applications / AI for Quality Control and Sales Optimization


Industrial Manufacturer (2024) – AI for Commercial Offer Ranking and Generation

Implemented data science and generative AI models to rank and generate commercial offers, streamlining the company’s sales and offer management processes.


Industrial Manufacturer (2024) – Visual Inspection on an Assembly Line

Developed an AI-based visual inspection system to identify faulty cable connections or missing components at the end of the production line, improving product quality and reducing defects.



Healthcare and Sports Analytics / AI for Risk Mitigation and Compliance


Healthcare Tech Company (2024) – AI for Spillage Detection in Lab Samples


Sports Club (2024) – Injury Prevention App for Professional Football Players

Designed a predictive model using Google Cloud and Vertex AI to forecast injury risks for athletes (soccer player) based on biomedical data. This model enhanced the club’s ability to monitor player health and prevent injuries before they occurred.


Sports Event Organizer (2024) – AI for Brand Recognition in Sports Events

Developed an AI model to categorize and recognize running shoe brands worn by athletes during sports events, allowing better tracking of brand exposure for sponsorship analytics.

Technologies: YOLO, Gemini

Results: Automated identification with 95% accuracy, increased value for sponsors.



Media and Entertainment / AI for Talent Matching and Content Moderation

Media Platform (2024) – AI for Talent Matching and Content Moderation

Built a platform that matches clients with actors and entertainment professionals through an online showcase. Additionally, implemented machine learning models to enhance content moderation, ensuring a safer and more efficient user experience.

Technologies: Machine Learning, AI Content Moderation


Customer Support and Travel / AI for Chatbot Automation and Virtual Assistance

Various Clients (2024) – AI-powered Chatbots and Advanced Search Solutions

Developed AI-powered chatbots and search engines for various applications, including:

Customer Support: Intelligent chatbots for 24/7 automated assistance.

New Employee Support: AI-driven FAQ management and onboarding.

Travel Planning: Advanced virtual assistants for personalized travel experiences.

Technologies: Vertex AI, Conversational Agents

Results: 40% reduction in response times, increased user satisfaction.



Pre 2024 Projects

Falck Renewables (Pre-2024) – Predictive Maintenance for Wind Turbines

Developed a machine learning system on AWS to predict maintenance needs for a wind farm consisting of 50 wind turbines. The project improved operational efficiency and reduced downtime by predicting potential failures before they occurred.

Technologies: AWS, Predictive Maintenance AI


Automotive Company (Pre-2024) – ML Engineering for Data Science Team

Designed machine learning pipelines to support a team of 30 data scientists, improving their ability to deploy models and manage data workflows efficiently.

Technologies: Machine Learning, Data Pipelines


Postal Services Company (Pre-2024) – Hierarchical Cash Flow Forecasting

Developed a predictive model for hierarchical cash flow forecasting, improving financial planning and resource allocation processes.

Technologies: Predictive Analytics, Data Science Models