Improved Forecasting with Predictive Models

• Collected and preprocessed data to build a time prediction model that improved the accuracy of rendering job estimates.

• Designed and implemented a visual predictive model using synthetic data for internal research.

• Built a sentiment analysis tool to assess user feedback and created a recommendation system based on user behaviour patterns.

• Built and maintained backend modules for a rendering SaaS using Python.

• Developed a chatbot to automate communication between technical support and clients.

• Managed and optimised MariaDB and PostgreSQL databases for internal tools.

• Trained a computer vision model to detect vehicle scratches and damage from images.

• Built a containerised service using Docker for model deployment.

• Enhanced image preprocessing pipeline to boost model accuracy and generalisation.

Managing cross-functional teams and facilitating collaboration across diverse program positions. I act as a bridge between technical AI teams and various business units ensuring seamless integration and deployment of AI solutions. I manage third-party applications to make sure AI tools work smoothly, using tools like EazyBI to make key metrics, Google Sheets Excel and specific charts for Agile teams.

• Developed and maintained a web application used by over 80 service centres worldwide.

• Contributed to both frontend and backend using React, Next.js, Nest.js, and PostgreSQL.

• Ensured cross-device compatibility and high responsiveness across all major browsers.

• Integrated scalable API services with authentication and database layers.