Liron (Lironne) Kurzman
Vancouver,BC
Summary
A Challenge seeker, energetic Machine learning Engineer with 3 years of research experience in ML and development of deep learning / computer vision applications. My main areas of research are Reinforcement-Learning, Image processing for various tasks (Detection/Segmentation etc.) and graph-based methods.
Overview
6
6
years of professional experience
Skills
- Programming Languages : Python, C, C, MATLAB, Typescript, JavaScript
- Deep Learning Frameworks : TensorFlow, PyTorch, Keras
- Main Programming Libraries : OpenCV, CUDA, Scikit, seaborn, Numpy, Pandas
- Configuration Management : Git, Docker
Work History
Machine Learning Research Assistant
University Of British Columbia
Vancouver, BC
08.2019 - Current
- Researched, implemented and evaluated SOTA Deep Learning models and rapid software prototypes to solve problems in machine learning and Computer Vision.
- Develop data analysis and data preparation pipelines including image augmentation and image enhancement pipelines for model training.
- Expertise in training and deploying CNN, RNN and LSTM models using PyTorch, Tensorflow and other Deep Learning Frameworks..
- Wrote and published a paper as a first authot
Head Teaching Assistant
University Of British Columbia
Vancouver, BC
01.2017 - 05.2023
- Taught machine learning, data mining, models of algorithms for dimensionality reduction, nonlinear regression, classification, clustering and unsupervised learning.
- Assisted several other courses teaching Design, development, and analysis of robust software components, physical and mathematical structures of computation, and Design and analysis of basic algorithms and data structures.
- Instructed labs of 15-20 students, providing demonstrations and help.
- Wrote grading scripts in bash to automate grading of over 200 submissions
- Held regular office hours tutoring individuals or groups of students
AI Computer-vision Researcher Co-op
Huawei Technologies
Vancouver, BC
01.2020 - 04.2020
- Assisted several researchers, conducing experiments in SOTA computer vision models.
- Explored reinforcement learning models, and different policy learning mechanisms for computer vision.
- Wrote a visual model to analyze and combine several Human-Object-Interaction datasets to facilitate a more efficient training process.
Software Developer – Co-op
Motion Metrics
Vancouver, BC
01.2019 - 04.2019
- Developed and Constructed new models using Qt framework for better client/server communication, currently deployed.
- Served as a core group member in the refactoring and redesigning of the main product.
- Improved and refactored the existing code-base with respect to memory management, and higher cohesion
Publications
- A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images - Issam Laradji, Pau Rodriguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vazquez, Derek Nowrouzezahra. InProceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 2021
- Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation - Kurzman, Lironne, David Vazquez, and Issam Laradji. Workshop ICCV/ NeurIPS 2019
Education
Master of Science - Computer Science
University of British Columbia
Vancouver, BC08.2023
Bachelor of Science - Computer Science
University of British Columbia
Vancouver, BC05.2021
Awards
- 2018 Department of Computer Science - Student service award for outstanding performance and engagement in various volunteering activities across the department
- 2018 Faculty of Science - International Student Scholarship for demonstrating strong academic achievement, engagement in the faculty, and potential to make a scholarly contribution.
- 2017 Trek Excellence Scholarship - given to the top 5% of the undergraduate year.
Timeline
AI Computer-vision Researcher Co-op
Huawei Technologies
01.2020 - 04.2020
Machine Learning Research Assistant
University Of British Columbia
08.2019 - Current
Software Developer – Co-op
Motion Metrics
01.2019 - 04.2019
Head Teaching Assistant
University Of British Columbia
01.2017 - 05.2023
Master of Science - Computer Science
University of British Columbia
Bachelor of Science - Computer Science
University of British Columbia
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