Dimo Angelov
Co-Founder And Chief Data Scientist
Ottawa, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolDimo Angelov is a Co-Founder and Chief Data Scientist based in Ottawa with 8 years of experience building AI systems that uncover real market structure. He combines academic depth—a Master's in AI and ongoing PhD work—with hands-on government and industry delivery as a Senior Data Scientist at the Government of Canada and earlier analytics and software roles. He’s a practical full-stack contributor to open-source ML tooling (notably work on the Top2Vec topic-modeling project and applied Jupyter examples for COVID-19 datasets), and he has shipped ETL and production analytics across reinsurance, public health, and research contexts. Known for turning complex domain requirements into automated, high-impact solutions, he previously cut weeks of manual work to minutes through bespoke tooling. Dimo blends rigorous research, product-minded engineering, and startup leadership to move AI from prototypes into operational value.
8 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Western UniversityDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of Ottawa
English, Bulgarian
Github Skills (15)
pandas10
machine-learning10
jupyter-notebook10
topic-modeling10
nlp10
python10
natural-language-processing10
data-science10
ml10
scikit-learn9
scikit9
gensim9
api-design7
apim7
api7
Programming languages (2)
Github contributions (4)
ddangelov/Top2Vec
Mar 2020 - Jan 2023
Top2Vec learns jointly embedded topic, document and word vectors.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:27 releases, 311 commits, 15 PRs in 2 years 10 months
Contributions summary:Dimo primarily contributed to the development of the Top2Vec project. The commits show the addition and updating of a Jupyter Notebook example, specifically targeting the Kaggle COVID-19 dataset. The user added, updated, and modified notebooks, demonstrating an understanding of the project's core functionality and applying it to a real-world dataset. Furthermore, the creation and modification of setup files showcase a role in project packaging and deployment.
pre-trained-language-modelsbertword-embeddingsdocument-embeddingtext-search
ddangelov/RESTful-Top2Vec
Apr 2020 - Aug 2020
Expose a Top2Vec model with a REST API.
Contributions:18 commits, 1 PR, 15 pushes in 3 months
nvidia-dockerapitopic-modelsemantic-search-enginedocument-embedding
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