Led a student team in enhancing a generative AI model from Google, focusing on cloud-based projects.Liaised directly with Google professionals, gaining insights and strategic guidance for the project'sdevelopment. Successfully secured funding for the project, ensuring its sustainability and progress.

Collaborated with Product Management and Data Science teams to develop a prototype of a machine learning algorithm for the company's AI chatbot, resulting in a 10% improvement in chatbot performance.Worked with internal and external stakeholders to define and develop an observability interface for the company's LLM, allowing for real-time comparison of model versions using machine learning. As a result, the company was able to compare model updates' impact on user experience and define key performance issues that arise in model retraining.

Applied Machine Learning concepts to develop financial models to predict market events.

Worked alongside the VP of Product to perform a detailed analysis of partners' usage data and deliver comprehensive results to other departments of the company. Conducted SWOT analysis to inform the company of competitors' products to inform exploration into new product development

Worked alongside the Product Development team to troubleshoot problems in the company’s mobile app under the direction of the VP of Technology.

Worked with a technical team to perform data analysis on the company’s data reserves from their partnership with other companies.

Lead a small team of students alongside Dr. Shifi Kababya and Prof. Asher Schmidt in the Chemistry Department of Technion University. Used solid-state NMR to analyze the process of exoskeleton development in arthropods to determine how these biological could be implemented in the medical field.