Mohamed Khalil
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Mohamed Khalil Email & Phone Number

Machine Learning Engineer at Ocado Technology
Location: Toronto, Ontario, Canada 17 work roles 4 schools
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Current company
Role
Machine Learning Engineer
Location
Toronto, Ontario, Canada
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Mohamed Khalil is listed as Machine Learning Engineer at Ocado Technology, a with 1811 employees, based in Toronto, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Mohamed Khalil.

Mohamed Khalil previously worked as Intermediate Software Engineer at Ocado Technology and Junior Software Engineer at Ocado Technology. Mohamed Khalil holds Master'S Of Applied Science In Aerospace Engineering, Computational Fluid Dynamics And Propulsion, 3.95/4.00 from University Of Toronto.

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Ocado Technology

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Profile bio

About Mohamed Khalil

I'm 🇱🇧 & ♥️ Machine Learning 🤖 Software Engineering 💻 Aerospace🚀 Sushi 🍣 Lifting 🏋️‍♂️ the Raptors 🏀🦖

Listed skills include Solidworks, Matlab, Python, Ansys, and 21 others.

Current workplace

Mohamed Khalil's current company

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Ocado Technology
Ocado Technology
Machine Learning Engineer
hatfield, hertfordshire, united kingdom
Employees
1811
AeroLeads page
17 roles

Mohamed Khalil work experience

A career timeline built from the work history available for this profile.

Intermediate Software Engineer

Toronto, Ontario, Canada

Behaviour cloning for robotic manipulation using Diffusion policies

Junior Software Engineer

Toronto, Ontario, Canada

- Developing ML and software solutions for an AI-powered robotic grocery picking system- ML: Trained and tested a SKU-Similarity model using contrastive learning for identifying if a picked item is of the expected type- MLOps: Developed distributed dataset creation and model training pipelines in Google Vertex AI- Backend: Data ingestion from robots into cloud endpoints and storage- Interview candidates for intern positions

Jul 2022 - Jul 2023

Advanced Computing Intern

Toronto, Ontario, Canada

- Develop parallelized high performance computing software in C++ for reactive computational fluid dynamics using MPI for multi-processing- Develop and validate an Integral-Length-Scale-Approximation turbulence model for use with dynamically refined and distributed grids- Develop a turbulence-statistics probing tool for measuring turbulence characteristics- Optimized a 3D spatial reconstruction algorithm for finite volume method, and increased overall solver speed by 30%

Sep 2021 - May 2022

Propulsion Lead

Toronto, Canada Area

-Lead and supervise a team responsible for the design of a Compressed Truncated Idea Contour (CTIC) Nozzle.-Developed a new framework for optimizing nozzle performance based on single parameter optimization, and developed in-house code in MATLAB.-Developed a GUI in MATLAB to streamline the nozzle design process-Lead the development of the manufacturing and testing process for the ablative Fiber-Glass/Phenolic composite nozzle structure using an innovative Double-Vacuum-Bagging Resin Infusion process-Modify the rocket launch rail design to allow for mounting the record breaking rocket - Defiance.

Sep 2017 - Sep 2018

Computational Fluid Dynamics Specialist - Rocketry Division

Toronto, Canada Area

- Design and optimize performance of a rocket engine nozzle using ANSYS Fluent CFD

Mar 2017 - Sep 2017

Teaching Assistant

Toronto, Ontario, Canada

Advanced Aerospace Structures

Jan 2021 - May 2021

Teaching Assistant

Toronto, Ontario, Canada

Space Systems Design, fourth year capstone. Taught students the fundamentals of systems design and guided them during a semester-long project where they designed a Lunar Cargo Transport Vehicle.

Sep 2020 - Dec 2020

Teaching Assistant

Toronto, Ontario, Canada

Space Systems Design, fourth year capstone. Taught students the fundamentals of systems design and guided them during a semester-long project where they designed a Lunar Multiple Ascent/Descent Vehicle.

Sep 2019 - Dec 2019

Research Student

Institue For Aerospace Studies

Work with Prof. Clinton Groth at the CFD and Propulsion Group on the modelling and Large Eddy Simulation of turbulent premixed flames in bluff-body stabilized combustion.• Create a detailed PCM-FPI chemical tabulation for propane using Cantera, and perform the reacting flow LES using CFFC, the UTIAS in-house solver, written in C++• Develop a high-fidelity differential equation Wall-Model in C++ to model the momentum layer at the walls in order to reduce the computational cost of the simulations. Implemented the wall model as a boundary condition at the walls of interest.• Design initial conditions that allow for faster convergence of the numerical solution• Design and write the code to generate the mesh, and optimize its multi-block structure to interface with the an-isotropic Adaptive Mesh Refinement (AMR) code written at UTIAS• Study the effects of filter size and mesh resolution on the numerical accuracy of the developed schemes• Perform simulations on Niagara, Canada's most powerful supercomputer• Participate in the APAN Model Validation for Propulsion Workshop for a Volvo gas turbine engine, focusing on areas such as grid convergence, explicit/implicit filtering, high order methods and boundary condition sensitivity.

May 2018 - Sep 2019

Canrgx Team Leader And Primary Mission Specialist

Team Fam (Fluids Affected By Magnetism)

Toronto, Canada Area

- Lead a team of highly motivated students to design and perform a magneto-fluid dynamic and heat transfer experiment as part of the anuual Canadian Reduced Gravity Experiment (CANRGX) challenge. - The experiment aims to study the fluid dynamic and thermal behavior of magnetized para-fluids under the influence of externally induced magnetic fields in a zero gravity environment onboard a Research Falcon 20 aircraft . Schlieren photography and Particle Tracking Velocimetry will be used to observe the fluid's behavior.- Supervise and participate in the design of all subsystems, including Electrical, Magnetic, thermal, optical and structural.- Organize outreach events to high schools, various UofT faculties, and other universities.- Coordinate team funding and sponsorships.

Dec 2017 - Sep 2018

Co-Founder

Aureus Aerospace Group

Toronto

• Design and build UAVs• Use CFD and FEA to study and optimize aircraft performance• Utilize 3D CAD modelling in Solidworks to design aircraft structures and optimize weight through iterative design studies• Employ 3D printing for rapid prototyping and proof-of-concept builds • Wrote a python algorithm that computes wing deflection based on aerodynamic loads

Apr 2016 - Aug 2018

Research Student

Toronto, Canada Area

- Working with Dr. Behrang Keshavarz and Dr. Azadeh Yadollahi on a study called "Developing a system to reliably detect driver drowsiness". I will be researching factors that affect certain performance indicators while driving at night, and how sleepiness/drowsiness change the brain's activity and affect an individual's ability to react to certain events, and the metrics that can be used to track the brain's activity and evaluate driving performance. I will be developing various simulation scenarios to test the reliability of those metrics in different driving conditions, and hope to eventually shed light on techniques/models that can be used to predict and infer performance based on the condition of the road and driver.-Continuation of last summer's work with Dr. Bruce Haycock on developing interactive 3D terrains for immersive driving simulation in Oktal SCANeR.

May 2017 - May 2018

Summer Research Student - Ceal Driverlab

Toronto, Canada Area

• Worked with Dr. Bruce Haycock in DriverLab, a state of the art driving simulator, at the Challenging Environments Assessment Labs• Designed terrain maps and visuals to allow for the simulation of a real-life Toronto driving experience• Developed solutions for various software issues and worked with OKTAL engineers to rectify them in future releases of the software

May 2016 - Aug 2016
Team & coworkers

Colleagues at Ocado Technology

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4 education records

Mohamed Khalil education

Master'S Of Applied Science In Aerospace Engineering, Computational Fluid Dynamics And Propulsion, 3.95/4.00

Developing a large eddy simulation (LES) method for predicting lean premixed hydrogen-air combustion in vented vessels for applications.

Bachelor’S Degree, Engineering Science - Aerospace Engineering

Activities and Societies: Minor in Engineering Business; University of Toronto Aerospace Team; CANRGX Micro-gravity flight experiment.

Advanced Placement Program And Specialist High Skills Major - Aerospace

George'S Vanier Secondary School
FAQ

Frequently asked questions about Mohamed Khalil

Quick answers generated from the profile data available on this page.

What company does Mohamed Khalil work for?

Mohamed Khalil works for Ocado Technology.

What is Mohamed Khalil's role at Ocado Technology?

Mohamed Khalil is listed as Machine Learning Engineer at Ocado Technology.

Where is Mohamed Khalil based?

Mohamed Khalil is based in Toronto, Ontario, Canada while working with Ocado Technology.

What companies has Mohamed Khalil worked for?

Mohamed Khalil has worked for Ocado Technology, Canadian Nuclear Laboratories, University Of Toronto Aerospace Team, University Of Toronto, and Txv Spaceport Toronto-Vienna.

Who are Mohamed Khalil's colleagues at Ocado Technology?

Mohamed Khalil's colleagues at Ocado Technology include Richard Green, Sorin Mihai, Mayank Sharma, Tsveta Babeva, and Alex Rusbridge.

How can I contact Mohamed Khalil?

You can use AeroLeads to view verified contact signals for Mohamed Khalil at Ocado Technology, including work email, phone, and LinkedIn data when available.

What schools did Mohamed Khalil attend?

Mohamed Khalil holds Master'S Of Applied Science In Aerospace Engineering, Computational Fluid Dynamics And Propulsion, 3.95/4.00 from University Of Toronto.

What skills is Mohamed Khalil known for?

Mohamed Khalil is listed with skills including Solidworks, Matlab, Python, Ansys, C, Project Management, Leadership, and Flight Simulation.

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