Олексій

OLEKSII KTITAROV
[открыть контакты](см. выше в блоке «контактная информация») | [открыть контакты](см. выше в блоке «контактная информация») | Austria

PROFESSIONAL SUMMARY
Motivated Computer Science graduate with hands-on experience in Machine Learning, Natural
Language Processing, Data Science, Model Optimization and Computer Vision. Skilled in
Python, C++, and modern frameworks such as TensorFlow and PyTorch, with proven success in
research and real-world applications. Currently pursuing a Master’s in Artificial Intelligence.
Proven ability to design and deploy AI solutions, from real-time speech systems to safety-critical
Computer Vision models.
LANGUAGES
●​ English (C1)
●​ Slovak (C1)
●​ German (A2)
●​ Ukrainian (C2)
●​ Russian (C2)

EDUCATION
Master’s Degree, Artificial Intelligence​​ ​ ​ ​ September 2024 – Present
Johannes Kepler University
Bachelor’s Degree, Computer Science (Exchange semesters)​ February 2022 – February 2024
Johannes Kepler University

Bachelor’s Degree, Computer Science​ June/2024
Technical University in Kosice

EXPERIENCE
Machine Learning Engineer​ February 2025 – Present
Nuwa Limited, Ireland
●​ Utilized optimization of different pipelines for local inference.
●​ Integrated advanced speech recognition, translation models and Text-to-Speech models during
different projects, mainly focusing on different variations of real-time applications.
●​ Optimized system performance through iterative testing and cross-team collaboration.
Researcher​ July 2023 – June 2024
Technical University in Kosice, Kosice, Slovakia
●​ Conducted in-depth research for my Bachelor thesis on “Empathy Detection,” focusing on
identifying and classifying empathetic responses in textual data.
●​ Selected BERT model for its superior performance in NLP tasks due to its contextual
understanding and pre-trained transformer architecture.
●​ Conducted data preprocessing, including text normalization, tokenization to improve model
performance, performed hyperparameter tuning and optimization techniques
Co-researcher​ October 2023 – February 2024
Johannes Kepler University, Linz, Austria
●​ Developed a Computer Vision project, focusing on locating people in dense forests.
●​ Normalized and preprocessed provided images to improve model performance, selecting
optimal focal images for training and implementation.
●​ Utilized U-Net models and GAN models, resulting in an impressive accuracy rate of 85%.

SKILLS
Python, C++, C, SQL, HTML, CSS, Docker, Azure, Machine Learning, Artificial Intelligence, Data
Science, Git, Tensorflow, PyTorch