XR Data Collection System
Developed a system for real-time data stream collection using VR/XR technologies integrated with embedded systems for experimental research.
Python
C#
Unity
XR/VR
Data Analysis
Ali Rezaei
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Specializing in AI, machine learning, and XR technologies with a background in software engineering and research.
About Me
Computer Science and Neuropsychology student with a passion for AI, machine learning, and XR technologies.
Education
Lassonde Engineering – York University
Computer Science and Neuropsychology Hons. BSc. (2021-2026)
Canada School of Public Service
Project Management and Business Operations (2023-2024)
Technical Focus
I specialize in software engineering with a focus on:
- Machine Learning & AI
- XR/VR Technologies
- Data Analysis & Visualization
- Full-Stack Development
- Embedded Systems
Research Interests
My research focuses on the intersection of:
- Neuroscience & Cognitive Computing
- Human-Computer Interaction
- Large Language Models
- Computer Vision
- Visuomotor Neuroscience
Professional Philosophy
I believe in:
- Clean, modular coding practices
- Rigorous testing and documentation
- Interdisciplinary collaboration
- Continuous learning and improvement
- Ethical technology development
Projects
A selection of my recent work across various domains and technologies.
LLM Fine-tuning Framework
Fine-tuned various ML models using Hugging Face, TensorFlow, and PyTorch, focusing on LLaMA 2, Mixtral, and LLaVA models.
Python
PyTorch
TensorFlow
Hugging Face
LangChain
Neuroscience Data Analysis Platform
Platform for processing and analyzing complex datasets from neuroscientific studies using advanced statistical and computational methods.
Python
R
MATLAB
Data Analysis
Visualization
Portfolio Website
Modern, responsive portfolio website built with Next.js, Tailwind CSS, and shadcn/ui components.
Next.js
React
TypeScript
Tailwind CSS
Embedded System for Sensor Integration
Utilized sensor technologies and embedded systems for real-time data collection and analysis.
C
C++
Embedded Systems
Hardware
Machine Learning Visualization Tool
Interactive tool for visualizing machine learning models and data, helping researchers understand complex patterns.
Python
JavaScript
D3.js
Machine Learning
Live Projects
Completed projects showcasing my technical skills and problem-solving abilities
Beyond my academic work and research, I've developed several production-ready projects that demonstrate my technical skills, creativity, and ability to deliver complete solutions. These projects span various domains including machine learning, XR/VR, embedded systems, and web development.
View All ProjectsSkills
A comprehensive overview of my technical skills and proficiencies.
Python95%
C/C++85%
JavaScript/TypeScript90%
R80%
MATLAB85%
C#80%
Java75%
Additional Skills & Certifications
Awards & Recognition
- •National Biology Olympiad Finalist
- •National Neuroscience Olympiad Gold Medallist
- •Khwarizmi Youth Innovation Award
- •Khwarizmi Youth Research Award
- •Lassonde Co-op Student of the year
Workshops & Teaching
- •Lumiate Conference Workshops
- •ANN and Deep Learning Workshop Series – AI at YorkU Club
- •Computer Vision and CNNs Workshop - AI at YorkU Club
- •Various Canada School of Public Service Certifications
Experience
My professional journey and work experience.
Software Engineer
Defence Research and Development Canada
May 2023 - Aug 2024
- Utilized sensor technologies and embedded systems for real-time data stream collection, establishing a foundation for predictive analytics and experimental data collection.
- Contributed to the design, implementation, and deployment of experimental systems integrating VR and XR technologies with embedded systems, generating intricate, multi-layered HCI data sets.
- Emphasized clean, modular coding practices for enhanced debugging, scalability, and team collaboration.
- Applied principles of clean architecture in software development, focusing on concern segregation and dependency minimization for robust, comprehensible systems.
- Implemented best practices for code maintainability, such as comprehensive documentation, version control, and rigorous testing, ensuring long-term software viability and performance (Git, Github, Azure Cloud).
- Fine-tuned various ML models using Hugging Face library, TensorFlow, and PyTorch, specifically focusing on LLaMA 2 7B, 13B, 70B - Mixtral, GPT-2, and Phi2 models, as well as LLaVA: Large Language and Vision Assistant.
Research Assistant
York University Centre for Vision Research - Visuomotor Neuroscience Lab
September 2024 - Present
- Process and analyze complex datasets derived from neuroscientific studies, applying advanced statistical and computational methods to extract meaningful insights.
- Conduct in-depth literature analysis and synthesize data methodologies to inform research direction and experimental design.
- Prepare and lead journal club sessions, developing comprehensive presentations that summarize current research trends and methodologies; facilitate group discussions to critically evaluate emerging studies.
- Develop detailed reports and technical documentation to communicate findings effectively to academic and industry stakeholders.
- Collaborate closely with faculty and peers to design experiments, analyze outcomes, and refine research methodologies to enhance data reliability and validity.
Volunteer
Various Organizations
2021 - Present
- Lumiate - Contributed to educational initiatives and workshops focused on technology and innovation.
- NeuroCollege - Assisted in organizing neuroscience-related events and educational programs.
- UNICEF at YorkU - Participated in humanitarian initiatives and awareness campaigns.
Contact Me
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Contact Information
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Phone
Location
York University - Centre for Vision Research
4700 Keele St, North York, ON M3J 1P3