Vlad Ivanchuk
Senior Data Scientist
Copenhagen, Capital Region of Denmark
Summary
🤩
Rockstar🎓
Top SchoolVlad Ivanchuk is a Harvard-educated Senior Data Scientist based in Copenhagen with five years of experience building and deploying ML solutions across startups and global organizations. He combines rigorous academic training in applied mathematics and computational science with hands-on engineering—shipping computer vision models used by 300K+ sports camera users and ML tools for clinical trial planning at Novo Nordisk. His background includes research and teaching at Harvard, where he earned a Certificate of Distinction in Teaching while supervising advanced ML projects and contributing to open-source training tools. Comfortable moving models from research to production, he has practical expertise in PyTorch, Weights & Biases, time-series forecasting, and user-facing AI features. Originally from Ukraine, he brings a global perspective and a knack for translating complex analytics into strategic decisions—and in his downtime he recharges by backpacking scenic trails and baking.
5 years of coding experience
2 years of employment as a software developer
Master of Science Computational Science and Engineering, Master of Science Computational Science and Engineering at Harvard John A. Paulson School of Engineering and Applied SciencesBachelor of Arts cum laude Applied Mathematics & Data Science, Bachelor of Arts cum laude Applied Mathematics & Data Science at Harvard UniversityArtificial Neural Networks and Deep Learning, Artificial Neural Networks and Deep Learning at DIS - Study AbroadHigh School Diploma, High School Diploma at Westminster School
Ukrainian, Danish, English, Russian
Github Skills (21)
pytorch9
nlp9
speech-recognition8
python8
deep-learning8
natural-language-processing8
tensorflow8
machine-learning8
bert7
transformer7
neural-network6
language-model6
transformers6
jax5
distributed-training5
Programming languages (1)
Github contributions (5)
vladd-i/vlad-composer
Jun 2022 - Aug 2022
library of algorithms to speed up neural network training
Contributions:22 pushes, 4 branches in 1 month
speeddeep-learningneural-networksmachine-learningtraining
vladd-i/lerner-lab-dataset
Oct 2020 - Mar 2021
Contributions:4 pushes, 1 branch in 4 months
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