

I am a Master’s graduate in Computer Science with strong skills in problem-solving, writing clean and efficient code, and collaborating effectively in team environments. Previous experience in the credit sector strengthened my analytical thinking, attention to detail, and ability to optimize processes. I am passionate about developing scalable software solutions and leveraging data-driven insights, with a strong commitment to contributing to innovative and fast-paced teams.
I support the planning and coordination of research projects while managing timelines, documentation, and team communication. I contribute to research on visual approaches to programming education and self-directed learning, conduct literature reviews, and assist with project implementation. Through this role, I have developed strong skills in research, project management, instructional design, and educational technology.
CRISPEmbedding: CRISPR/ Cas9 Off-target Activity Prediction using DNA k-mer Embedding
"Our system process data using dna k-mer embedding and use data augmentation in order to resolve data imbalance issue, and a deep learning based model is used for improving off-target prediction accuracy which helps geneticists and medical researchers to know near accurate amount of off-target activity in a certain dataset"