Summary
Overview
Work History
Education
Skills
Machine Learning Skills
Athletic Achievments
Volunteering Work
Machine Learning Papers
Timeline
Generic

Mohamed Elmorsy

Machine Learning Engineer
Hamilton,ON

Summary

Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems. To seek and maintain part-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.

Overview

11
11
years of professional experience
10
10
years of post-secondary education

Work History

Machine Learning Engineer

Natural Sciences and Engineering Research Council of Canada
Hamilton, Canada
09.2019 - Current
  • Prototyped machine learning applications and quickly determined application viability.
  • Created customized applications to make critical predictions, automate reasoning and decisions and calculate optimization algorithms.
  • Implemented and evaluated artificial intelligence and machine learning algorithms and neural networks for diverse industries.
  • Transformed raw data to conform to assumptions of machine learning algorithm.
  • Developed advanced graphic visualization concepts to map and simplify analysis of heavily-numeric data and reports.
  • Studied new technologies to support machine learning applications.
  • Presented findings orally and in writing with advanced mathematical models.
  • Tested and validated models for accuracy of predictions in outcomes of interest.

Graduate Research Assistant

McMaster University
Hamilton, Ontario
09.2019 - Current
  • Prepared materials for reports, presentations and submission to peer-reviewed journal publications.

Artificial Intelligence, TA

McMaster University
(Remote)
01.2021 - 12.2021
  • Worked on Artificial Intelligence course in software engineering program.

The following AI methods and computer vision applications have been tutored,

  • Artificial Neural Networks
  • Convolution Neural Networks
  • Genetic algorithms
  • Image processing
  • Image segmentation
  • Edge detection

Owner’s Engineering Lead

Bruce Power
Kincardine, Canada
01.2021 - 06.2022
  • Managing Unit 4 Steam Generator Replacement (SGR) project civil engineering activities and deliverables as part of Bruce Power LifeX program.
  • Managing project workflows on Maximo: EAMS – Engineering Asset Management System
  • Reviewing and accepting vendor prepared design packages
  • Maintaining vendors' oversight, vendors such as, Framatome, Mammoet, Aecon and Aecom.
  • Coordinating project activities with internal Bruce Power stakeholders such as: Seismic SMEs, Environmental SMEs, Human Performance SMEs, Reactor Safety, Operations, Life Extension Program, Fuel Handling, Emergency Protection Services (EPS) – Security, Emergency Protection Services (EPS) – Fire and Licensing.
  • Coordinating project activities with external stakeholders such as: Ontario Power Generation (OPG) and Canadian Nuclear Safety Commission (CNSC) - Regulator.
  • Monitoring and controlling project schedule
  • Tracking project KPIs (i.e., CPI and SPI)
  • Providing design support to Unit 6 field team
  • Preparing Field Change Notices (FCNs)
  • Providing engineering support to Bulkhead team

Project Manager

Nabetco Group
Cairo, Egypt
01.2017 - 08.2019
  • Updated operational methods and oversaw accounting procedures for improved efficiency.
  • Maintained relationships with material vendors to lower costs and diversify capabilities.
  • Developed and initiated projects, managed costs and monitored performance of the following projects,

Residential Buildings:

  • Skoda project – seven stories
  • Zohor project – seven stories
  • Total project – six stories

Industrial/Administrative Buildings:

  • Taha global stones factory administrative building – three stories
  • Masary e-payments Head office – 2000 sqm office space
  • Speed for trading Head office – 1600 sqm office space

Structural Design Engineer

Cosmos-E
Cairo, Egypt
06.2016 - 12.2016
  • Completed accurate engineering calculations for weights, loads and other metrics using both manual and digital methods.
  • Documented products and processes using SAP2000 and Revit to document release notes and designs.
  • Created CAD models and drawings for structural designs.
  • Collaborated with cross-functional teams to conceptualize and refine product concepts.

Education

Doctor of Philosophy - Machine Learning

McMaster University
Hamilton, ON
09.2019 - 08.2023

Master of Science - Machine Learning

Cairo University
Giza
10.2016 - 09.2018

Bachelor of Science - Structural Engineering

Cairo University
Giza
10.2011 - 05.2016

Skills

    Python: NumPy, Pandas, OpenCV, PySpark, Scikit-learn, Keras and TensorFlow

undefined

Machine Learning Skills

Machine Learning Methods:

  • Deep Learning Models: CNNs, MLPs and PINNs.
  • Linear Models: Linear Regression and Logistic Regression.
  • Tree-Based Models: Decision Trees, Random Forests, Gradient Boosting Regression and XGBoost.
  • Clustering Models: K-Means, Hierarchical Clustering and Gaussian Mixture Models.

Multivariate Statistical Methods: PCA, SIMCA, PLS and OPLS.

Athletic Achievments

  • GBI Tour of Arabia finisher, cycling 530KM in 5 days from the Amman to the Sharm El-Shikh - 2019
  • GBI Tour of Egypt finisher, cycling 750KM in 5 days from the Mediterranean to the Red Sea - 2018
  • Egypt's National Champion, National Parachuting Championship for individuals - 2012
  • Egypt's National Champion Team, National Parachuting Championship for teams - 2012

Volunteering Work

Co-Founder, TEDxCairoUniversity (2014 - 2019)

• Co-Founded and Co-Lead the first TEDx conference (Mosaic) at Cairo University, the largest student ‎community in Egypt

• Lead and managed the financial division with Logistics and Fundraising teams having 2 executives and 10 members under my leadership

• Lead and closed a deal with Nagib Sawiris the 2nd richest businessman in Egypt

• Achieved a record financial success not broken to the moment

• Trained and mentored the successive 4 Curators of Finance in TEDxCairoUniversity


Learning Facilitator, AIESEC no Brasil (2015)

• Lead and Managed the Talk project series of workshops (20) for students and faculty staff members of Santa Catarina Federal University, the aim of the workshops was to create conversations and share ideas on various topics so that the participants get the opportunity to talk in the English language.


International Project Coordinator, DEEKSHA NGO (2013)

• Worked in an international team on increasing awareness about protecting the environment in India.

• Delivered workshops on E-waste management to students in public schools. • Organized public plantation events in Chandigarh.

Machine Learning Papers

  • Generalizable Permeability Prediction of Digital Porous Media via a Novel Multi-Scale 3D Convolutional Neural Network, Water Resources Research (2022).
  • Crack Detection in Environments with Complex Backgrounds Using Deep Convolution Neural Nets‎, Current Trends in Civil & Str. Engineering, (2022).
  • Porous Media Classification Using Multivariate Statistical Methods, in Proceedings of the Canadian Society of Civil Engineering Annual Conference - Springer Nature, (2022).

Timeline

Artificial Intelligence, TA

McMaster University
01.2021 - 12.2021

Owner’s Engineering Lead

Bruce Power
01.2021 - 06.2022

Doctor of Philosophy - Machine Learning

McMaster University
09.2019 - 08.2023

Machine Learning Engineer

Natural Sciences and Engineering Research Council of Canada
09.2019 - Current

Graduate Research Assistant

McMaster University
09.2019 - Current

Project Manager

Nabetco Group
01.2017 - 08.2019

Master of Science - Machine Learning

Cairo University
10.2016 - 09.2018

Structural Design Engineer

Cosmos-E
06.2016 - 12.2016

Bachelor of Science - Structural Engineering

Cairo University
10.2011 - 05.2016
Mohamed ElmorsyMachine Learning Engineer