YOUSSEF ALSHEGHRI
Montreal
Summary
Motivated and adaptable software engineering student with hands-on experience in full-stack development, machine learning, and mobile app design. Skilled in Java, Python, React Native, and popular ML libraries such as TensorFlow and PyTorch. Proven ability to collaborate in cross-functional teams, lead sub-projects, and deliver clean, well-documented code. Strong communicator and quick learner with a passion for building impactful, user-centered solutions.
Overview
3
3
years of professional experience
Work History
Software Engineering Research Assistant (Internship)
Health and Rehab Research Inc.
06.2023 - 12.2025
- Collaborated with a team to develop a machine learning application that distinguishes between objective and subjective pain in patients with chronic lower back pain.
- Improved an existing custom ML model for predicting 25 human landmarks, reducing validation loss by 0.3.
- Evaluated and benchmarked various deep learning models including all YOLO versions, GoogleNet, ResNet50, and MobileNet variants.
- Helped design and implement a lightweight object detector using SSDLite + MobileNetV2 to detect individuals and faces in real-time.
- Preprocessed detected individuals and faces for downstream pose estimation and emotion classification models.
- Fine-tuned models by experimenting with trainable parameters, optimizers, and activation functions to improve performance.
- Used Python libraries extensively, including TensorFlow, Keras, OpenCV, NumPy, scikit-learn, and Matplotlib.
- Actively contributed to project documentation and ensured code readability through clear structure and comments.
- Managed and collaborated using GitHub for version control and team integration.
- Studied previous team documentation to build upon existing work effectively.
- Participated in team meetings to present updates and discuss project progress.
- Assisted the project supervisor in onboarding and managing new interns, assigning tasks based on skills and qualifications.
Education
Bachelor of Engineering - Software Engineering Co-op
Concordia University
Montreal, QC12-2025
Skills
- Languages: Java, Python, TypeScript, JavaScript
- Web & Mobile Development: HTML, CSS, Reactjs, React Native
- Tools & IDEs: IntelliJ, VS Code, PyCharm, Google Colab, GitHub, Figma
- Frameworks & Libraries: TensorFlow, Keras, PyTorch, NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, OpenCV
- Database Systems: Familiar with SQL and NoSQL (eg, PostgreSQL and MongoDB) through academic projects
- Development Methodologies: Agile, Scrum, Unified Modeling Language (UML)
- Professional Skills: Team collaboration, leadership, ownership, communication, problem-solving, time management, attention to detail
Languages
English
Full Professional
French
Full Professional
Arabic
Native or Bilingual
Project
Sporta – Social Sports App Chronic Lower Back Pain Detector (ML Project) Condo Management System
Concordia University, Montreal, 2024 - 2025
A full-featured social media mobile app for sports enthusiasts, enabling users to connect through location- and skill-based events. Built as a Capstone project with an industry-level approach, covering the full software engineering lifecycle from planning to deployment.
- Tech Stack: Spring Boot (backend), MongoDB, React Native (frontend)
- My Role: Front-end developer
- Development Approach: Scrum, Agile
- Highlights: Project scoping, requirement elicitation, CI/CD, testing, DevOps, monitoring, and professional documentation
- Quick Demo: https://drive.google.com/file/d/1KJnk5tChIFF8EZoH6PYA4tksVGi772J8/view
- Detailed Demo: https://drive.google.com/file/d/18qKLRSC02C2vG2g2wF3Sjae6zaenK0Ax/view?usp=drive_link
Healthcare Systems R&A Inc., Montreal, 2023 - 2025
Designed a machine learning model to detect lower back pain in patients using image data and deep learning techniques.
- Tech Stack: Python, Keras, TensorFlow, OpenCV, Matplotlib, NumPy
- My Role: ML model development, optimization, and documentation
- Key Concepts: Time complexity, space complexity, model tuning
- Tools Used: PyCharm, VS Code, Google Colab
Concordia University, Montre 2024
Developed a responsive web platform for managing condo units, residents, and maintenance tasks.
- Tech Stack: MERN stack (MongoDB, Express, React, Node.js)
- My Role: Front-end developer (ReactJS)
- Development Approach: Scrum, Agile
- Code Management: GitHub
- Final Release Document: https://docs.google.com/document/d/1L4s7oe2GM1FQiHduAhx9zPixo87SgBfg5V1BMA8N1gM/edit?tab=t.0
Timeline
Software Engineering Research Assistant (Internship)
Health and Rehab Research Inc.
06.2023 - 12.2025
Bachelor of Engineering - Software Engineering Co-op
Concordia University
Similar Profiles
NANDINI NANDINI null
Assistant in Nursing at Health and rehab research Inc.Assistant in Nursing at Health and rehab research Inc.
Shaina DalyShaina Daly
Clinical Research Study Assistant at KITE Toronto Rehab Research InstituteClinical Research Study Assistant at KITE Toronto Rehab Research Institute
KEDON SHAWKEDON SHAW
Research Intern at Michigan Institute of Clinical and Health Research - ResearchResearch Intern at Michigan Institute of Clinical and Health Research - Research
Carin ZhangCarin Zhang
Bubble Tea Barista/Cashier at CoCo Fresh Tea & JuiceBubble Tea Barista/Cashier at CoCo Fresh Tea & Juice
Alexi Keefler-JohnsonAlexi Keefler-Johnson
Bartender at Playground CasinoBartender at Playground Casino