HEY THERE!

My name is Ziyad Edher (زياد إضهير), I'm a software engineer and I like breaking things. 

I am a computer science student at the University of Toronto focusing on artificial intelligence and computation theory. I love entrepreneurship, music (check out my Spotify), and doing stuff in nature!

Currently, I am a software engineering intern at Asana on the Product Security team. Previously I interned as a software engineer at Google twice: on the Cloud HSM team and on the Project Fi team.

I also advise the perception team of the University of Toronto's award-winning self-driving car team, aUToronto.

My main academic interests lie broadly within the field of reinforcement learning. I was previously a teaching assistant at the University of Toronto for CSC373: Algorithm Design and Analysis under the supervision of Professor Allan Borodin.

Hit me up if you want to chat, yo.

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CURRENT

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Asana

Software Engineer Intern

San Francisco, California

Sept. 2020 to Present

Team: Product Security

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aUToronto

Perception Advisor

Toronto, Ontario

Aug. 2020 to Present

Team: Perception (Computer Vision)

On-boarded subsequent leads and maintained R&D cadence throughout the transition.

Served as an advisor to the perception team and the self-driving car team as a whole.

Participated in advisory sessions to discuss strategy and potential research avenues.

 

EXPERIENCE

Citadel

Chicago, Illinois

Software Engineer Intern

Feb. 2021 to May 2020

This internship starts in the Winter 2021 semester.

asana-logo-logo-png-transparent.png

Asana

San Francisco, California

Software Engineer Intern

Sept. 2020 to Dec. 2020

Team: Product Security

This internship starts in the Fall 2020 semester.

CURRENT

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Google

New York, New York

Software Engineer Intern

May 2020 to Present

Team: Cloud HSM

Sped up critical HSM security operations by 40% by designing new asynchronous modes.
Implemented improvements and rolled out to production in across hundreds of HSMs.
Established a framework to further utilize asynchronous HSM security operations.
Developed a customer-facing API from hardware firmware to front-end hooks and RPCs.

CURRENT

Zeus_Logo_Blue_Text+(1).png

aUToronto

Toronto, Canada

Perception Advisor

Aug. 2020 to Present

On-boarded subsequent leads and maintained R&D cadence throughout the transition.

Served as an advisor to the perception team and the self-driving car team as a whole.

Participated in advisory sessions to discuss strategy and potential research avenues.

Zeus_Logo_Blue_Text+(1).png

aUToronto

Toronto, Canada

Perception Lead

Aug. 2019 to Aug. 2020

Planned and executed an 8-month strategy perception enhancement strategy.

Improved performance of traffic light detection by 10% compared to previous years.

Lead the collaborative development of the new level-4 traffic light and sign systems.

Managed a 10-member team including work assignments and milestone tracking.

1004px-Google_"G"_Logo.svg.png

Google

Mountain View, California

Software Engineer Intern

May 2019 to Sept. 2019

Team: Google Fi

Designed and tested robust interfaces for profile management on embedded SIM chips.

Implemented crypto specs to form OTA deployment channels for critical eSIM scripts.

Generated models to analyze mobile user data to speed up service and reduce prices.

Improved existing data analysis pipelines's data efficiency by 8x and cut I/O calls by 66%.

Zeus_Logo_Blue_Text+(1).png

aUToronto

Toronto, Canada

Perception Engineer

July. 2018 to Aug. 2019

Developed traffic light and sign recognition suites helping the team achieve a first-place win in year one and year two of the SAE Autodrive Challenge, by a 10% margin.

Worked in a collaborative academic environment to develop state-of-the-art software based on cutting-edge research in computer vision and machine learning.

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Fortran Traffic

Toronto, Canada

Software Developer Intern

May 2018 to Sept. 2018

Deployed analysis algorithms on a regional scale under smart traffic initiatives.
Developed production-level traffic simulation tools to aid in internal development.
Conducted case-study research on intersections to inform major algorithmic decisions.

WatchOut

Waterloo, Canada

Co-Founder and CIO

March 2016 to Sept. 2017

Worked with co-founders to design and implement a subscription-based platform that provides customers with affordable alternatives to purchasing wristwatches tailored.
Managed all information infrastructure including databases, websites, and payment.

EXPERIENCE

Citadel

Chicago, Illinois

Software Engineer Intern

Feb. 2021 to May 2020

This internship starts in the Winter 2021 semester.

asana-logo-logo-png-transparent.png

Asana

San Francisco, California

Software Engineer Intern

Sept. 2020 to Dec. 2020

Team: Product Security

This internship starts in the Fall 2020 semester.

CURRENT

1004px-Google_"G"_Logo.svg.png

Google

New York, New York

Software Engineer Intern

May 2020 to Present

Team: Cloud HSM

Sped up critical HSM security operations by 40% by designing new asynchronous modes.
Implemented improvements and rolled out to production in across hundreds of HSMs.
Established a framework to further utilize asynchronous HSM security operations.
Developed a customer-facing API from hardware firmware to front-end hooks and RPCs.

CURRENT

Zeus_Logo_Blue_Text+(1).png

aUToronto

Toronto, Canada

Perception Advisor

Aug. 2020 to Present

On-boarded subsequent leads and maintained R&D cadence throughout the transition.

Served as an advisor to the perception team and the self-driving car team as a whole.

Participated in advisory sessions to discuss strategy and potential research avenues.

Zeus_Logo_Blue_Text+(1).png

aUToronto

Toronto, Canada

Perception Lead

Aug. 2019 to Aug. 2020

Planned and executed an 8-month strategy perception enhancement strategy.

Improved performance of traffic light detection by 10% compared to previous years.

Lead the collaborative development of the new level-4 traffic light and sign systems.

Managed a 10-member team including work assignments and milestone tracking.

1004px-Google_"G"_Logo.svg.png

Google

Mountain View, California

Software Engineer Intern

May 2019 to Sept. 2019

Team: Google Fi

Designed and tested robust interfaces for profile management on embedded SIM chips.

Implemented crypto specs to form OTA deployment channels for critical eSIM scripts.

Generated models to analyze mobile user data to speed up service and reduce prices.

Improved existing data analysis pipelines's data efficiency by 8x and cut I/O calls by 66%.

Zeus_Logo_Blue_Text+(1).png

aUToronto

Toronto, Canada

Perception Engineer

July. 2018 to Aug. 2019

Developed traffic light and sign recognition suites helping the team achieve a first-place win in year one and year two of the SAE Autodrive Challenge, by a 10% margin.

Worked in a collaborative academic environment to develop state-of-the-art software based on cutting-edge research in computer vision and machine learning.

favicon-96x96.png

Fortran Traffic

Toronto, Canada

Software Developer Intern

May 2018 to Sept. 2018

Deployed analysis algorithms on a regional scale under smart traffic initiatives.
Developed production-level traffic simulation tools to aid in internal development.
Conducted case-study research on intersections to inform major algorithmic decisions.

WatchOut

Waterloo, Canada

Co-Founder and CIO

March 2016 to Sept. 2017

Worked with co-founders to design and implement a subscription-based platform that provides customers with affordable alternatives to purchasing wristwatches tailored.
Managed all information infrastructure including databases, websites, and payment.

EXPERIENCE

Citadel

Software Engineer Intern

Chicago, Illinois

Feb. 2021 to May 2020

This internship starts in the Winter 2021 semester.

CURRENT

asana-logo-logo-png-transparent.png

Asana

Software Engineer Intern

San Francisco, California

Sept. 2020 to Present

Team: Product Security

1004px-Google_"G"_Logo.svg.png

Google

Software Engineer Intern

New York, New York

May 2020 to Sept. 2020

Team: Cloud HSM

Sped up critical HSM security operations by 40% by designing new asynchronous modes.
Implemented improvements and rolled out to production in across hundreds of HSMs.
Established a framework to further utilize asynchronous HSM security operations.
Developed a customer-facing API from hardware firmware to front-end hooks and RPCs.

CURRENT

Zeus_Logo_Blue_Text+(1).png

aUToronto

Perception Advisor

Toronto, Ontario

Aug. 2020 to Present

Team: Perception (Computer Vision)

On-boarded subsequent leads and maintained R&D cadence throughout the transition.

Served as an advisor to the perception team and the self-driving car team as a whole.

Participated in advisory sessions to discuss strategy and potential research avenues.

Zeus_Logo_Blue_Text+(1).png

aUToronto

Perception Lead

Toronto, Ontario

Aug. 2019 to Aug. 2020

Team: Perception (Computer Vision)

Planned and executed an 8-month strategy perception enhancement strategy.

Improved performance of traffic light detection by 10% compared to previous years.

Lead the collaborative development of the new level-4 traffic light and sign systems.

Managed a 10-member team including work assignments and milestone tracking.

1004px-Google_"G"_Logo.svg.png

Google

Software Engineer Intern

Mountain View, California

May 2019 to Sept. 2019

Team: Google Fi

Designed and tested robust interfaces for profile management on embedded SIM chips.

Implemented crypto specs to form OTA deployment channels for critical eSIM scripts.

Generated models to analyze mobile user data to speed up service and reduce prices.

Improved existing data analysis pipelines's data efficiency by 8x and cut I/O calls by 66%.

Zeus_Logo_Blue_Text+(1).png

aUToronto

Toronto, Canada

Perception Engineer

July. 2018 to Aug. 2019

Team: Perception (Computer Vision)

Developed traffic light and sign recognition suites helping the team achieve a first-place win in year one and year two of the SAE Autodrive Challenge, by a 10% margin.

Worked in a collaborative academic environment to develop state-of-the-art software based on cutting-edge research in computer vision and machine learning.

favicon-96x96.png

Fortran Traffic

Software Developer Intern

Toronto, Ontario

May 2018 to Sept. 2018

Team: Traffic Controller Tooling

Deployed analysis algorithms on a regional scale under smart traffic initiatives.
Developed production-level traffic simulation tools to aid in internal development.
Conducted case-study research on intersections to inform major algorithmic decisions.

WatchOut

Co-Founder

Waterloo, Ontario

March 2016 to Sept. 2017

Worked with co-founders to design and implement a subscription-based platform that provides customers with affordable alternatives to purchasing wristwatches tailored.
Managed all information infrastructure including databases, websites, and payment.

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