Machine Learning Engineer

Mahsa Nazemi

ð Mahsa Nazemi # ***********@*****.*** +1-514-***-**** + Toronto, Canada

Summary

Machine learning engineer and R&D professional with a strong background in machine learning and deep learning, specializing in developing and optimizing ML/DL models for complex data challenges. Experienced in designing ML pipelines, statistical analysis, and enhancing model performance for real-world applications. Skilled in Python, PyTorch, TensorFlow, scikit-learn, and data processing frameworks. Experience

Machine Learning Researcher

Noze

Montreal, Canada

Jan. 2024 – Sep. 2024

Developed ML pipelines for data preprocessing, data analysis, and model validation on diverse biomedical datasets, enhancing model evaluation benchmarks through statistical analyses.

Designed and developed experiments to identify performance gaps and data inconsistencies, contributing to improved model robustness.

Collaborated with cross-functional teams to integrate data-driven insights into biological research workflows. AI Specialist

Solution Rexys Inc.

Longueuil, Canada

Oct. 2022 – Dec. 2023

Built and deployed custom models for real-time people detection, applying advanced machine learning techniques on scalable datasets to address complex business challenges.

Created an intuitive AI application interface, streamlining model training and evaluation for non-technical users, enhancing workflow automation and improving experimentation efficiency.

Authored a successful proposal for Innovative Solutions Canada’s ”Visual AI for Space Robotics Obstacle Detec- tion” challenge, achieving pre-qualification with an excellent score. R&D Intern on Mitacs

Cysca Technologies

Montreal, Canada

Sep. 2019 – Aug. 2022

Researched and developed an Inter-Camera Tracker (ICT) for multi-camera vehicle tracking, employing ensemble deep learning models, attention mechanisms, and spatial-temporal constraints to enhance tracking accuracy and efficiency.

Enhanced resource efficiency, boosting processing speed by 1.8 and cutting memory usage by 1,000x.

Expanded testing and validation by creating a synthetic dataset simulating adverse weather conditions, assessing ICT performance under challenging scenarios.

Skills

Dev: Python, MySQL, Git, Docker, AWS Cloud Services, Jira, Scrum ML/DL: Tensorflow, PyTorch, Keras, Scikit-Learn, Pandas, Numpy, OpenCV, Hugging Face Certification

Generative AI with Large Language Models - DeepLearning.AI Education

Ecole Polytechnique de Montreal

M.Sc. in Software and Computer Engineering - GPA: 3.88/4.0 2019 – 2022

Nominated for the ”Best Thesis of the Year Award”

Awarded for the ”Tuition Fees Exemption Bursary Program” twice (Winter 2020, Fall 2020). Shahrood University of Technology

M.Sc. in Artificial Intelligence and Robotics - GPA: 18.26/20 2014 – 2016

Academic Excellence Award, recognized as the ”Ranked #1 Graduate” (2016) Ferdowsi University of Mashhad

B.Sc. in Computer Engineering - GPA: 15.11/20

2009 – 2014

Publication

“A self-Learning stream classifier for flow-based botnet detection”, International Journal of Communication Systems

2019

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