Experience

EnerZam inc

• Canada
• Industrial Machinery Manufacturing
• 1 - 100 Employee

• Software Developer

  • Sep 2022 - Present



Aerial Technologies

• Canada
• Wireless Services
• 1 - 100 Employee

• Data Scientist

  • Sep 2021 - Present

  • Developing a workflow for a Wi-Fi sensing-based occupancy-related schedules estimation to calculate the building energy demand. • Different machine learning techniques are used to estimate four occupancy behavior schedules such as presence and activity, lighting, and electrical equipment usage. • The machine learning techniques used in this project are as follows: Decision tree, Radom Forest, SVM, KNN, and k-means. • WiFi occupancy counting data prediction using LSTM. • Working with AWS, Git, Docker, and cmd. • Critical thinking and teamwork. Show less



Natural Resources Canada | Ressources naturelles Canada

• Canada
• Government Administration
• 700 & Above Employee

• Research Assistant

  • Jun 2020 - May 2021

  > Training a deep neural network to classify building point cloud data into different roof type categories to characterize roof types as heated and unheated > Literature review on LiDAR point cloud data and deep learning algorithms > Trained deep learning classifier with point cloud data using Python > Report and algorithms posted to GitLab > Training a deep neural network to classify building point cloud data into different roof type categories to characterize roof types as heated and unheated > Literature review on LiDAR point cloud data and deep learning algorithms > Trained deep learning classifier with point cloud data using Python > Report and algorithms posted to GitLab



Concordia University

• Canada
• Higher Education
• 700 & Above Employee

• Research Assistant

  • Aug 2019 - Jan 2020

  > Developing a dynamic urban building energy model for INSEL4Cities software using object-oriented programming > Working with different data models and formats such as XML and JSON format (Data modeling) > Working with GitLab and collaborating with a senior software developer and so many other engineers in different fields > Developing a dynamic urban building energy model for INSEL4Cities software using object-oriented programming > Working with different data models and formats such as XML and JSON format (Data modeling) > Working with GitLab and collaborating with a senior software developer and so many other engineers in different fields



Concordia University

• Canada
• Higher Education
• 700 & Above Employee

• Teaching Assistant

  • Sep 2016 - Dec 2017

  Building energy simulation Building energy simulation



Concordia University

• Montréal, Québec

• Teaching Assistant

  • Feb 2016 - May 2016

  Fluid mechanic Lab Fluid mechanic Lab