Ahmed Ibrahim
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Engineering Manager | PhD | Agile Certified | 25 years of Delivering Innovative Solutions
With 25 years of experience in the field, I am an experienced Engineering Manager with a Ph.D. in Computer Engineering from Virginia Tech, USA. My expertise extends to Large-scale systems, Computer Vision, Deep Learning, LLMs, Machine Learning, and Software Engineering, developed through years of hands-on experience. Throughout my career, I have showcased exceptional leadership abilities, successfully leading multiple multi-million pound projects and surpassing tight deadlines and difficult technical obstacles. With 25 years of coding experience, I am proficient in multiple programming languages.I have used Agile methodologies throughout my career and I'm an Atlassian Certified Agile Professional.
Virginia Tech
Doctor of Philosophy (Ph.D.), Computer Engineering
January 1, 2012 – June 1, 2017
Benha University
Master of Science - MS, Computer Engineering
January 1, 2003 – July 1, 2007
Site Reliability Engineering Manager
September 1, 2024 – Present
Greater Kitchener-Cambridge-Waterloo Metropolitan Area · Hybrid
Audere
Engineering Manager - AI
July 1, 2022 – September 1, 2024
Seattle, Washington, United States · Remote
Incivus
Senior Director - AI and Computer Vision
January 1, 2021 – June 1, 2022
Toronto, Ontario, Canada · Remote
Sportlogiq
Computer Vision Researcher
May 1, 2019 – January 1, 2021
Kitchener, Canada Area · On-site
Fluent.ai Inc.
ML Researcher / Cloud Infra Manager.
September 1, 2018 – April 1, 2019
Montreal, Canada Area · On-site
Virginia Tech
Computational Scientist - AI
January 1, 2018 – August 1, 2018
Virginia Tech
Graduate Research Assistant
May 1, 2017 – December 1, 2017
Virginia Tech
Graduate Assistant
August 1, 2014 – August 1, 2017
EdgeNetwork
Android Developer
May 1, 2014 – August 1, 2014
Virginia
Virginia Tech
Graduate Research Assistant
August 1, 2013 – March 1, 2014
Virginia Tech
PhD Candidate
January 1, 2012 – December 1, 2017
Al-attiya
Software Development Team Leader
March 1, 2008 – January 1, 2009
Doha, Qatar
Mideastech
Manager - Systems development and integration.
July 1, 2004 – August 1, 2012
Egypt
Benha University - Faculty of Engineering
Teaching Assistant
January 1, 2002 – January 1, 2011
Egypt
Mideastech
Senior Software Engineer
July 1, 2001 – July 1, 2004
Egypt
Deep Learning with PyTorch Summer Courses
May 1, 2018 – Present
Lead series of summer short courses where I prepared and presented a comprehensive overview of introductory as well as advanced topics in deep learning along with hands-on labs. The topics range started with the basics of Neural Networks up to advanced topics such as GANs and RL.
Deep Learning Workshops, TensorFlow edition
January 1, 2018 – April 1, 2018
Prepared and led a series of deep learning workshops within Virginia Tech. The workshops provided theoretical background plus hands-on labs using TensorFlow.
Text Detection Using Deep Learning
January 1, 2015 – December 1, 2017
My Ph.D. research involved building deep learning models to detect text instances in natural scene images. I used Caffe for 1 year then moved to Torch for a short period of time, then, finally Keras/Tensorflow. The work in this thesis lead to exceeding the state of the art on the well-known challenging COCO-Text dataset.
Data Visualization
August 1, 2014 – August 1, 2017
Building SSRS reports and data visualizations using C# and javascript over SQL queries of Virginia Tech students and faculty data. Sample Visualizations and reports https://irweb.ir.vt.edu/webtest/studentmigration/default.aspx https://irweb.ir.vt.edu/webtest/FacultyStaffYear.aspx https://irweb.ir.vt.edu/webtest/intrauniv_migration.aspx
Elements custom reports
August 1, 2014 – August 1, 2017
Built Faculty Annual Report on top of Symplectic elements systems using MS SQL and SSRS.
Handwriting analysis, Virginia Tech
January 1, 2014 – January 1, 2015
Gender Identification from handwriting model that used SVM to identify the writer's gender from a scanned handwritten document. Many known features have been tested including chain coding and others. Also, a novel wavelet-based LBP features have been proposed and proved to perform the best compared to classical features. In this project, Python has been used to write all the code. Best poster presentation award has been given to this work during the ICIP conference in London, UK
OTG for Android 4.3
August 1, 2013 – March 1, 2014
Root, Install a new kernel, then Enable USB OTG in Nexus 4 with Android 4.3, The DoD-funded Wild Life project, Virgina Tech, USA
Real-time facial expression recognition, Virginia Tech
January 1, 2013 – January 1, 2014
Real-time facial expression recognition system that reads RGB-D data from a Kinect camera. Many tools and techniques have been used such as Dimensionality reduction using PCA, Linear and nonlinear SVM. 3D point cloud triangulation. The system has been prototyped using Matlab and built for real time operation using C# that calls a C++ implementation of SVM.
software development division of Al-Attia Qatar
March 1, 2008 – January 1, 2009
Interview, hire, manage team of software developers in Egypt's branch of Al-Attia Qatar to build software systems using MS SQL and ASP.NET(C#)
Intelligent Marketing campaign planning system, Novartis Ophthalmics
May 1, 2003 – December 1, 2004
A data-driven campaign planning system that creates a nation wide campaign plan and individual salesmen schedule. The system used graph algorithms to solve for the optimal schedule (minimum campaign cost) plus maximizing expected revenue subjected to plenty of constraints such as marketing visit frequency per client class, different preferred visit time per client, preferred work hours per salesman, already scheduled client-salesman visits. Built entirely in Oracle PL/SQL.
Decision Support System, Egyptian Army
January 1, 2002 – March 1, 2003
Data-driven DSS system that used data analytics and machine learning to help strategic planning for the Egyptian Army. Tools included C#, Oracle Forms, and Oracle DB.
ETL project, Egyptian Army
January 1, 2002 – March 1, 2003
Data Extract Transform and Load (ETL) project for 3 months. Extract data from an Informix database on an old Sun server. Transform and clean the data. Load the data into Oracle/Windows server.
Atlassian Agile Project Management Professional Certificate
Atlassian
June 24, 2026 – Present
Quantum Programming
D-Wave
June 24, 2026 – Present
Agile Leadership
Stanford University Graduate School of Business
June 24, 2026 – Present
Scrum: Advanced
June 24, 2026 – Present
Google Cloud Platform Fundamentals: Core Infrastructure
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning academic research, industry roles, and even early-career software development and management. The experience includes working in different organizational structures (startups, large tech, academia) and leading teams. The project diversity, from deep learning research to data visualization and enterprise system development, suggests adaptability and a broad interest in technology. The leadership roles and teaching experience indicate a collaborative and knowledge-sharing approach, which generally aligns well with a positive cultural fit. However, the recent SRE Manager role at Google, while prestigious, is a slight deviation from a pure ML Engineer path, though the prior AI management roles are highly relevant.
Soft Skills & Operational Fit
The candidate's experience includes leading teams, managing cloud infrastructure for research, and teaching deep learning topics, suggesting strong leadership, mentorship, and operational skills. The project descriptions indicate a problem-solving mindset and the ability to work on complex, data-driven systems. The management roles at Audere and Incivus highlight a capacity for technical leadership and project execution in an AI context.