CV
Stepan Tytarenko - CV.pdf
Education
- B.S. in Computer Science - Kharkiv National University of Radio Electronics, Kharkiv, Ukraine, 2017-2021
- International Semester in Electrical Engineering - University of Valladolid, Valladolid, Spain, 2020
- M.S. in Computer Science - Fordham University, New York, NY 2022-2024 (now attending)
Work experience
- April 2020 - August 2021: GoLang Software Engineer
- Distributed Lab
- Kharkiv, Ukraine
- September 2021 - July 2022: Software Engineer
- May 2023 - August 2023: Data Science & Machine Learning Intern
- Volvo Financial Services
- Greensboro, NC
- August 2023 - Present: Graduate Researcher
- Fordham University
- New York, NY
Publications
Panchenko, D., Maksymenko, D., Turuta, O., Luzan, M., Tytarenko, S., Turuta, O. (2022). Ukrainian News Corpus as Text Classification Benchmark. In: Ignatenko, O., et al. ICTERI 2021 Workshops. ICTERI 2021. Communications in Computer and Information Science, vol 1635. Springer, Cham. https://doi.org/10.1007/978-3-031-14841-5_37
Tytarenko, S., & Lefebo, K. T. (2023). "Forecasting Bitcoin Price Trends: Leveraging Natural Language Processing and Bing GPT Data Augmentation for Enhanced Predictive Insights." Fordham Graduate School of Arts and Sciences, New York, USA. Email: [stepantita@fordham.edu, klefebo@fordham.edu].
@misc{tytarenko2024breaking, title={Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs}, author={Stepan Tytarenko and Mohammad Ruhul Amin}, year={2024}, eprint={2401.16638}, archivePrefix={arXiv}, primaryClass={cs.CL} }