Research Interests (ever changing)
- Applied LLMs for Code & Software Engineering
- AI Agents
- Reinforcement Learning for LLM
- ML Engineering & Optimization
- ML on edge
- Computer Vision & Multimodal Learning
Industry
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Senior ML Research Engineer
Huawei Canada
(2023 - present)
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ML Research Assistant
Ryerson University, Canada
(2020 - 2021)
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Platform Architect, Feature Enablement Team Lead
AMD, Canada
(2018 - 2019)
Academic
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M.Sc., Applied ML
McGill University, Montreal, Canada
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M.Sc. (co-located w/ McGill)
Mila Quebec AI Institute, Montreal, Canada
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B.Eng., Computer Engineering
Ryerson University, Toronto, Canada
Publications & Talks
The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware)
K. Vasilevski, B. Rombaut, GK. Rajbahadur, GA. Oliva, K. G, FR Cogo, D. Lin, H. Zhang, B. Chen, K. Thangarajah, AE Hassan, Z. Ming; ACM Knowledge Discovery and Data Mining (KDD 2025); 2025.
Real-time Adapting Routing (RAR): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation Models
K. Vasilevski, D. Lin, AE. Hassan; IEEE International Conference on Software Engineering (ICSE 2025); 2025.
(Presentation) Balancing Cost and Quality in FMware (slides)
K. Vasilevski, D. Lin, AE. Hassan; AIware Leadership Bootcamp 2024, Toronto; (also mini-bootcamp @ ICSE 2025, Ottawa), Canada.
Watson: A Cognitive Observability Framework for the Reasoning of LLM-Powered Agents
B. Rombaut, S. Masoumzadeh, K. Vasilevski, D Lin, AE Hassan; arXiv; 2024.
Meta-learning for clinical and imaging data fusion for improved deep learning inference
Vasilevski, K., McGill University, Canada (2023).
Consensus learning with multi-rater labels for segmenting and detecting new lesions (competition paper)
NICHYPORUK, B., VASILEVSKI, K., HU, A., MYERS-COLET, C., CARDINELL, J., SZETO, J., FALET, J.-P., ZIMMERMANN, E., SCHROETER, J., ARNOLD, D. L., AND ARBEL, T. Multiple Sclerosis New Lesions Segmentation Challenge, MICCAI (2021).
2025, made with in pure Bootstrap 4, inspired by Academic Template for Hugo