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.
CURRENT
Team: Product Security
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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
This internship starts in the Winter 2021 semester.
CURRENT
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
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.
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.
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%.
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.
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
This internship starts in the Winter 2021 semester.
CURRENT
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
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.
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.
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%.
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.
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
This internship starts in the Winter 2021 semester.
CURRENT
Team: Product Security
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
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.
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.
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%.
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.
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.