Ali Alian
Yaphetsf75g@gmail.com | (236) 236 5979| LinkedIn: alireza-alian | GitHub: yaphetsf75
EXPERIENCE
Machine Learning Engineer at CECO AI Feb 2023 to May 2023
● Developed and implemented time-series models using transformers to analyze data and reduce CO2
emissions in mining operations.
● Managed and organized a comprehensive database of satellite data for mines, including historical warning
records, using Python.
● Utilized Scrapy for efficient data extraction from legal documents related to mines, creating well-structured
databases.
● Deployed models leveraging team data sources via Microsoft Azure for optimized operations.
Research Assistant at UBC Sep 2020 to Nov 2022
● Advanced research and project execution in game optimization and policy gradient convergence in LQ
games using Python, NumPy, and Nesterov method for accelerated outcomes, and a successful journal
paper submission based on thesis results.
● Leveraged machine learning and AI techniques for practical applications: sleep stage classification with
MATLAB, multi-agent reinforcement learning in games via Python and TensorFlow, and signal
classification with CNNs and ANNs.
● Developed and provided comprehensive codes for voice recognition systems and algorithmic problem-
solving in MATLAB, emphasizing MFCC, FFT, and dynamic programming.
● Conducted data analysis and modeling for video games and communication signals analysis using R,
TensorFlow, and NumPy, applying data gathering and analysis techniques.
● Designed and implemented technical projects including a two-player board game with C++, a graphical
interface for Bomberman using Java Canvas.
Data Scientist at DADE AVARAN CO. Nov 2018 to Apr 2019
● Cleansed and visualized geological data utilizing R for enhanced data clarity and insights.
● Applied logistic regression models to accurately predict the presence of mines in specific areas.
● Crafted unsupervised learning models for the classification of oil mine types.
EDUCATION
Master of Science of Electrical Engineering – UBC Sep 2020 – Nov 2022
Double Bachelor Science of Mathematics & Sep 2014 – Apr 2019
Electrical Engineering - Sharif University of
Technology
PROJECTS & LEADERSHIP
Kaggle Competition – Finished Top 30% - Humpback whale Identification
Trained AI models (Resnet18/50 & Densnet161) to identify whales in images. Models trained with PyTorch.
Mahak – Local Charity Fund-raiser Leader Tehran
Led a small team of volunteers to raise fund for fighting cancer.
SKILLS
Python, C, C++, Machine Learning, Deep Learning, Image Processing, Pytorch, Tenserflow, Matlab,
Linux, Bash, Git
