Ali Shiraee

• Deep Learning
• Computer Vision
• Self-Supervised Representation Learning
• Graph Neural Networks
• Interpretable Machine Learning

McMaster University

M.A. Sc, Computational Science & Engineering • 2023 — Present

• Supervisor: Dr. Hamidreza Mahyar

Kharazmi University

Bachelor of Science, Computer Science • 2016 — 2020

B.Sc. Thesis: EEG Signals Classification on a Motor Imagery Task using Convolutional Neural Networks under the supervision of Dr. Mir Mohsen Pedram

Alborz High School

High School Diploma • 2012 — 2016

BASF Canada

Applied Research Intern • September, 2023 — Present

Collaborated with the AI Innovation team to leverage state-of-the-art NLP techniques and large language models (LLMs), driving innovative solutions for domain adaptation and optimizing retrieval-augmented generation (RAG) systems in the field of chemistry.

• Natural Language Processing, Contrastive Learning, Retrieval-Augmented Generation, Data Curation & Preprocessing, Data Synthesis w/ LLMs, Language Model Training
• Technologies: Python, PyTorch, HuggingFace Libraries, Git, Pandas, Numpy, Linux, LlamaIndex, LangChain, DeepSpeed, Amazon Ecosystem, FlashAttention

Part AI Research Center

Machine Learning Engineer • April, 2022 — October 2022

As a member of the Computer Vision team, my role involved developing and maintaining deep learning models aimed at solving real-world problems.

• Computer Vision, Image Processing, Scene Text Recognition, Object Detection, Multiple Object Tracking, Object Segmentation
• Technologies: Python, OpenCV, Tensorflow, PyTorch, Git, Pandas, Numpy, Linux, ONNX, Scikit-Learn, Docker

Arezoupardaz

Machine Learning Engineer • May, 2021 — Sept, 2021

• Computer Vision, Image Processing, Scene Text Detection and Recognition
• Technologies: Python, Numpy, Pandas, OpenCV, Linux, PyTorch, Git

Luminai

Machine Learning Engineer, Co-Founder • Jan, 2021 — April, 2022

Limunai was a startup that sought to integrate artificial intelligence into education. By using AI-based technology, we aimed to create interactive and personalized learning experiences for students. Specifically, to make learning English easier by providing personalized lessons and tracking progress to help students improve faster.

• Data Analysis, Natural Language Processing, Topic Modeling
• Technologies: Python, Numpy, Tensorflow, Linux, Nginx, Docker, Git

TutorTron, an AI Intelligent Course Assistant

McMaster University • Summer 2024

EEG Signal Classification in a Motor Imagery Task

National Brain Mapping Lab • Summer 2020

Age Prediction from fMRI images

National Brain Mapping Lab • Fall 2020

• ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain
• MLGCN: An Ultra Efficient Graph Convolution Neural Model for 3D Point Cloud Analysis
• Contour Completion using Deep Structural Priors

Programming Languages

Python, Java, C#, LaTeX

Frameworks & Technologies

Numpy, Pandas, Matplotlib, Scikit-learn, PyTorch, Tensorflow, OpenCV, Linux, Git, Docker, Nginx, Flask

Concepts

Algorithms, Linear Algebra, Probability, Statistics, Graph Theory, Computer Vision, Machine Learning, Deep Learning

Soft Skills

Teamwork, Problem-solving, Adaptability, Time management, Coordination

Deep Learning Spring School

Kharazmi University • April 2019

Iranian Brain-Computer Interface Competition

National Brain Mapping Laboratory • Summer 2020

Awarded the second place.

Task-Oriented Course in AI & ML

Quera • November 2020

Deep Learning Specialization

Coursera • December 2020 - June 2021

Computer Vision Course

Part AI Research Center • December 2021 - March 2022

Computer Science Student Association

Member • 2018 — 2020

During my last years at Kharazmi University, I served as a member of the Student Association. I was involved in planning and organizing educational events like Deep Learning School, Programming Workshops, and Technology Seminars.

Computer Science Association Publications

Section Editor, Editor, Writer • 2018 — 2020

I was a core staff member of SefrOYek magazine, the student association's periodical publication. I was involved in redesigning the magazine and releasing it to the public. Writing articles for the magazine was also part of my contribution to the publication.