Roman Wojtecki (Voitetskii)

Currently: ML/AI Engineer at UAEU

About

I am a Machine Learning Researcher at United Arab Emirates University, where I leverage data science and machine learning to advance medical research. I collaborate with researchers to design and implement machine learning pipelines, perform statistical analysis, and automate report generation using frameworks like PyTorch, scikit-learn, Plotly, and Optuna. I also ensure the clarity and reproducibility of research methodology sections in scientific papers.

Previously, I worked as a Machine Learning Engineer at Byndyusoft, developing models for NLP tasks such as sentiment analysis and machine translation. I also served at Magicly, where I created a GAN-based image enhancement algorithm, an automated technical support system for mobile apps, and a refined NLP pipeline, cutting model size and deployment time significantly.

I hold a bachelor's degree in computer science from South Ural State University and am passionate about using data science, machine learning, and NLP to solve real-world problems and create a positive impact.

Experience

United Arab Emirates University

ML Researcher · Apr 2023 - Now

  • Created an automated system to generate various visual plots, enhancing the reader’s experience.
  • Designed and implemented an automated system for generating tables, streamlining data presentation processes, reducing manual errors by 90%, and saving 15 hours per week for research teams.
  • Spearheaded data preprocessing tasks, improving data quality by 40% and reducing model training time by 25% in medical research projects.
  • Implemented automation for structuring MRI/CT images, saving approximately 5-10 hours per week for colleagues.
  • Engineered an innovative computer vision system to autonomously segment multiple sclerosis lesions, boosting productivity metrics by 50%.
  • Established a research log system to track progress of ongoing research projects and development of predictive models, increasing project visibility and streamlining decision-making.

Byndyusoft

ML/AI Engineer · July 2022 - October 2022

  • Executed preprocessing and cleaning of textual data, enhancing data quality and ensuring optimal performance of NLP models.
  • Evaluated and fine-tuned machine learning models, enhancing model accuracy by 10% and achieving an F1 score of 0.98 for text classification.
  • Optimized state-of-the-art NLP pipeline, achieving 50% model size reduction and a 30% reduction in model deployment time.
  • Orchestrated the implementation of a data-driven research log, resulting in a 25% reduction in project delays and a 30% increase in successful model iterations.

Magicly

Machine Learning Engineer · June 2020 - July 2022

  • Developed a GAN-based algorithm to enhance image quality, resulting in significant visual improvements.
  • Created an automated technical support system for mobile applications, streamlining user assistance and improving response times.
  • Developed and refined a cutting-edge NLP pipeline, successfully halving the model size and cutting deployment time by nearly a third.
  • Developed an algorithm for image layer segmentation, enabling advanced color space editing and customization.

Connect with me

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