Volodymyr Kravetskyi

Machine Learning Engineer

Barcelona, Catalonia, Spain

About

I’m a Machine Learning Engineer who loves turning data into meaningful stories. Whether it’s building a predictive model or optimizing a recommendation system, I’m here to make AI solutions work for real-world challenges. Think of me as a tech-savvy problem-solver who just can’t get enough of coding and coffee.

Experience

  • Machine Learning Engineer at Freelance
    Jan 2023 - Present · 3 yrs 7 mos

    *Designed and deployed scalable machine learning models for personalized search and recommendations. *Conducted extensive data preprocessing and feature engineering to improve model accuracy. *Collaborated with cross-functional teams to integrate AI solutions into production systems. *Implemented A/B testing pipelines to evaluate model performance in real-time applications. *Developed custom algorithms to enhance data quality and reduce processing time. *Optimized ML pipelines to improve efficiency and reduce computational costs.

  • Machine Learning Engineer at NDA
    Jul 2020 - Dec 2022 · 2 yrs 6 mos

    *Built ML-driven systems for user engagement analysis and content personalization. *Developed real-time recommendation engines using collaborative filtering techniques. *Analyzed terabytes of user behavior data to identify patterns and improve retention rates. *Created scalable ETL pipelines for handling large datasets across distributed systems. *Integrated reinforcement learning methods into ad delivery optimization. *Conducted regular code reviews.

  • Machine Learning Engineer at IBM Watson
    May 2017 - Jun 2020 · 3 yrs 2 mos

    *Designed NLP models for sentiment analysis and chatbot implementation. *Built predictive maintenance models for enterprise clients. *Enhanced existing AI solutions by integrating advanced neural network architectures. *Designed APIs to expose AI capabilities to end-user applications. *Conducted error analysis and retraining to improve model robustness.

  • Junior Machine Learning Engineer at Edgify
    Mar 2015 - Apr 2017 · 2 yrs 2 mos

    *Built and fine-tuned recommendation algorithms. *Conducted data cleaning and preparation. *Developed models for analyzing user. *Automated model monitoring systems to ensure consistent performance. *Collaborated with UX teams to enhance AI-driven user experiences. *Researched and applied new approaches to handle sparse data issues.

  • Machine Learning Intern at Grabango
    Jun 2014 - Feb 2015 · 9 mos

    *Implemented basic ML models. *Contributed to research on optimization techniques for AI hardware. *Automated data preprocessing workflows. *Documented findings and presented them to the engineering team.