Lea Ebert Email & Phone Number

London, Gb

London, England, United Kingdom

- Conducting experimental research in Python to enhance the integration of large language models within our technology stack.- Developing and maintaining backend services for our SaaS platform, leveraging Java and Kotlin with frameworks like Spring and Postman to integrate neurosymbolic AI-driven language solutions into existing software systems.- Utilising Git for version control, facilitating robust testing and collaboration within the development team. Using Docker for streamlined deployment and efficient environment management.- Participating in the full software development lifecycle, from requirements analysis and design to implementation, testing, and maintenance, ensuring high-quality standards and adherence to project timelines.- Collaborating closely with cross-functional teams to align our solutions with user needs, optimise functionality and ensure scalability and reliability.- Presenting findings and progress in regular technical reviews with team members and stakeholders, offering valuable insights to guide strategic decisions based on performance metrics and technological advancements.- Authoring and maintaining comprehensive technical documentation to enhance team knowledge sharing and ensure product consistency.- Staying informed about industry trends and advancements in AI technologies and research to best enhance our product offerings.

Göttingen, Niedersachsen, Deutschland

- Performing monthly analysis of sales data using Python and SQL.- Visualising data through business intelligence tools such as PowerBI, Tableau. - Experience with Microsoft Office services such as Teams, Outlook, Excel. Regularly presenting relevant sales developments to stakeholders.

Göttingen, Niedersachsen, Deutschland

- Developing an application to analyse emergency room data to make a computer-aided ini0al diagnosis. - Deploying the application on a webserver using Flask.- Employing, tuning and comparing the performance of different Machine Learning models using Python (relevant libraries: numpy, scikitlearn).- Researching Explainable AI.- Presenting my project to an interdisciplinary team of mathematicians, computer scientists and physicians.

Master, Applied Mathematics, First-Class Honours With Distinction

Modules: Machine Learning, Data Science, Computational Linear Algebra, Optimisation MSc research project with Imperial BICI Lab.

Bachelor, Mathematics (Minor Computer Science), 1.3 (First-Class Honours With Distinction)

Modules: Probability Theory, Statistics, Calculus, Numerical Methods Thesis: On the universal approximation power of Deep Neural Networks.

Abitur, 1.0 (First-Class Honours With Distinction)