Work Experience

• Developed, maintained and optimized data pipelines for ETL processes using Python and PostgreSQL.
• Collaborated with the security department to gather requirements and deliver data solutions that supported business objectives.
• Interviewed, hired, trained and supervised a team of 5 data engineer interns, providing mentorship and performance feedback.

Researching shared-memory algorithms and synchronization primitives for systems with persistent (non-volatile) memory, in the Distributed Algorithms and Systems Lab under the supervision of Prof. Wojciech Golab. Focus on recoverable objects — concurrent data structures whose state and operations remain consistent across crash failures — combining theoretical analysis with practical algorithm design.

Designed the first constant space randomized wait-free locking algorithm for mutual exclusion in shared-memory systems. Analyzed the algorithm's performance using probability theory and proved its correctness and wait-freedom properties as my MSc thesis.

Conducted feature selection and developed machine learning models to predict immune cell composition in lung cancer. Performed identification of immune cell types, analysis of differentially expressed genes, functional enrichment analysis, and classification of cancer subtypes using machine learning techniques.