Specializing in Python-based software engineering and data science applications.Developing data-driven solutions, performing data analysis, and working with databases.

• Applied NLP and transformer models to accelerate drug discovery.• Used a transformer-based architecture to generate diverse, optimized molecular designs.• Explored strategies to enhance design efficiency and effectiveness.• Demonstrated AI-driven approaches to improve drug development outcomes.

Volunteer Work• Managing tasks related to HR and recruitment

• Evaluated the process of producing salary ranges through a data-driven approach, and wrote a report focusing on efficiency improvements.• Used Power Automate to automate multiple tasks, reducing manual workload and increasing accuracy.• Created a new analytical tool for calculating salary ranges.• Visualized HR data to communicate insights and trends, aiding decision-making.

• Developed an API that help facilitate the access to certain data for truck mechanics. • Created a program that automates tests in an internal data system in order to minimize manual labour and ensure quality and correctness of stored information.

"Automation of the Beekeeping Process - Real-time analysis of sensor data from beehives using machine learning" is the title of the Bachelor's Thesis me and my group have done in collaboration with Ericsson. Our work focused on real-time analysis of data from beehives using machine learning models. The final product was a web application that help beekeepers monitor their beehives.