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hi i'm

ayleen farnood

machine learning + brain-computer interface
+ fullstack developer

machine learning
+ brain-computer interface
+ fullstack developer

ayleen.about()

during the day, I study engineering science at the University of Toronto.

at night, I develop, design, and dream up ideas.

Photo of myself

what i'm up to...

> making “mind control” a reality #brain-computer interfaces
> helping computers make decisions #machine learning
> bringing ideas to life (virtually) #programming
> interviewing the brightest minds #podcasting
> solving some of your biggest problems #coming soon

ayleen.experience()

now!!

  • university health network |
  • engsci @ uoft |
  • podcast host |
  • tutoring

UNIVERSITY HEALTH NETWORK - KITE LAB

may 2022 - present

> sponsored by the ESROP-UofT Research Fellowship
> developing python software to replicate signal processing used by the lab’s brain-computer interface system
> implementing an interprocess communication to allow the real-time exchange of acquired EEG recordings to the processing stage
> developing graphical user interface to display EEG signals and set BCI operational parameters
> working under Prof. Milos Popovic and Prof. Cesar Marquez-Chin

python, labview

ENGINEERING SCIENCE @ UOFT

sept 2021 - present

> dean's honour list for all semesters thus far; currently in my second year
> undeclared for first two years learning about all engineering disciplines, then completing machine intelligence major
> elected twice to represent my year as a class representative in engsoc (uoft's engineering student council)

python, c, matlab

PODCAST HOST

march 2020-dec 2021; more coming soon!

> co-hosted & edited the plastic shift podcast; spoke to experts about the plastic pollution problem
> co-hosted & edited the knowledge archives podcast; interviewed professors around the world
> new podcast in the works ;)

audacity

PRIVATE TUTOR

aug 2021 - present

> tutoring students in middle/high school on english, programming, and math
> introducing students in elementary school to the basics of programming (with scratch and python)
> helped students get admission to top high schools in toronto
> contact me if you're looking for a tutor!

prev

  • research @ uoft |
  • the plastic shift |
  • microsoft |
  • erudite ai |
  • launchx

RESEARCH ASSISTANT @ UOFT

nov 2019 - aug 2020

> co-authored paper that was accepted for publication in the 2022 IEEE International Conference on Intelligent Robots and Systems
> developed machine-learning algorithms in python to detect and remove time delay in autonomous vehicle communication
> designed and implemented FCN, LSTM, ResNet, MLP, DFNN models
> optimized hyperparameters for models, developed new loss function, simulated and generated data in matlab
> worked under Prof. Deepa Kundur

python, matlab

CO-FOUNDER @ THE PLASTIC SHIFT

march 2020 - march 2021

> co-founded this nonprofit organization to assess various solutions to the plastic pollution problem
> partnered with the Ellen MacArthur Foundation & ran a webinar for over 100 students internationally
> partnered with Plastic Bank to educate their workers about plastic pollution; developed online course deployed internally
> created infographics, articles, and ran podcast with over 25 episodes interviewing experts across the globe
> check out our manifesto

SOFTWARE ENGINEERING INTERN @ MICROSOFT

july 2018 - aug 2018

> developed NLP chatbot to answer frequently asked questions in their finance department; was deployed to over 3000 employees internationally
> programmed machine learning algorithm to detect high potential customers for Microsoft Azure
> presented work to former Canadian Minister of Science, the Honourable Kirsty Duncan

python, html/css, javascript, luis

SOFTWARE ENGINEERING INTERN @ ERUDITE AI

july 2018 - aug 2018

> developed eye-tracker using computer webcam using python and opencv
> used project to determine which part of the screen users were focused on to optimize product design
> erudite ai was one of the Top 10 startups in the 2018 IBM Watson AI X-Prize challenge

python

LAUNCHX MIT PARTICIPANT, CO-FOUNDER @ DETOXN

july 2019 - aug 2019

> LaunchX MIT is a 4 week overnight entrepreneurship camp at MIT
> co-founded Detoxn, a startup dedicated to preventing alcohol addicts from relapsing
> programmed machine learning algorithm to predict chances of relapsing and developed website
> conducted extensive market research by attending Alcoholics Anonymous meetings; acquired over 50 preliminary users
> was voted as the 'female powerhouse' of my session

python, html/css, javascript

ayleen.portfolio()

thanks for visiting my website <3

if you want to get in touch,
feel free to shoot me an email or msg me on my socials!

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made with <3 by ayleen farnood, © 2023