About Me
I'm a rising senior at New York University Abu Dhabi, majoring in Computer Science with minors
in Applied Mathematics and Interactive Media Arts. Currently, I am working on my senior thesis in the fields of computational social science and deep learning.
My interests lie in a variety of fields, from cybersecurity to artificial intelligence technologies.
When I'm not busy coding (or debugging code), I enjoy playing Pokemon (as a die-hard Nintendo fan since I was 12), taking walks down random streets
in search of the next best onigiri(or shawarma), and experimenting with different ingredients in the kitchen.I'm also a huge Korean Hip Hop fan (despite the fact that I barely understand Korean)
Experience
New York City, USA
June 2020 - Present
New York City, USA
June 2020 - Present
- Selected as part of the 2020 cohort to be paired with a New York based startup for a summer internship and to take part in a fellowship involving getting to know the startup scene through a speaker series with industry professionals.
Abu Dhabi, United Arab Emirates
October 2018-December 2018
- Fixed issues, bugs & made enhancements to The Gazelle webpage including
issues related to the rendering of front-end elements.
(Technologies Used: React, NodeJS, MariaDB)
Abu Dhabi, United Arab Emirates
May 2018-December 2018
- Helped students debug hardware(Arduino-based) and software (Processing,
web-based) projects, and also assisted them in the using a laser cutter, 3D
Printer and power tools. (12+/week)
President | hackAD Student Club
Abu Dhabi, United Arab Emirates
Jan 2018-December 2018
- Organised student panels with QAs, hacknights, and various coding workshops,
while increasing student participation from 5-7 students per event to
approximately 20 students per event. (Approximately 233% increase in
attendance)
- Planned, organized and budgeted a completely student-run hackathon for 50+
students
Software Engineer| Walturn LLC
New York City, USA
June 2018-September 2018
- Created a series of web-based psychology experiments in p5js in order to
eliminate the need for test subjects to be physically present at the location to
take part in the experiment.
(Technologies Used : Javascript(p5.js), HTML, CSS)
Research
Publications
ConfessorBot : Can Machine Learning Algorithms Identify, Understand and
even confess with Human Emotion?
Abdullah Zameek and Aven Le Zhou
The 5th Arts and Science International Exhibition and Symposium, At Beijing, China
October 2019
- Co-authored a paper that aimed to analyse the potential for machine learning
algorithms to capture and re-create human emotion using IBM Watson’s
sentiment analysis tools.
- Wrote a browser automation script to scrape Facebook posts that made up the
training data set.
- Full Text here
Research Assistantships
Research Assistant| Department of Social Science, NYUAD
NYU Abu Dhabi, Abu Dhabi, United Arab Emirates
Jan 2020-June 2020
- Set up input data pipelines to Tensorflow models used to evaluate factors
constituting hate speech in a variety of datasets.
-
Aiding in the implementation of a Bayesian Recurrent Neural Network to quantify ambiguity in sentences.
(Technologies Used: Tensorflow 2.0, Numpy, Pandas)
Research Assistant| Center For Cyber Security, NYUAD
NYU Abu Dhabi, Abu Dhabi, United Arab Emirates
May 2019 - August 2019
- Worked on a design and analysis benchmark for the lightweight ciphers (LWC)
FeW and Saturnin-Short in software based platforms in C and Python.
-
Designed and planned cryptanalysis strategies including linear, differential and
impossible differential attacks on the Saturnin-Short LWC.
Projects
An.i.me
- Collected over 5000 animated pictures and trained a CycleGAN model that
was used as part of an interactive webpage that converts a webcam captured
image to an animated image.
-
Source Code here
Sent.ai.rt
- Trained multiple neural style transfer models based on famous paintings to
create an interactive portrait that captures human facial expressions and
renders a real time neural style transfer feed based on that expression.
-
Source Code here
NutriScan
- NutriScan is a web application that gives you the nutritional information you need with just the snap of a picture.
Nowadays, we live in a very health-conscious society. It's important to be aware of the nutrients in your food, but it's not always easy... That's why we created NutriScan, a simple, intuitive web application that gives you the nutritional breakdown of what you are eating. With only a picture from your smartphone, NutriScan can tell you the amount of calories, carbohydrates, proteins, and more in what you consume. Not only that, but NutriScan can also keep track of your health and nutritional intake. Regardless of what your nutritional goals are, NutriScan can help you live a healthy and happy life.
- Created at Hack Princeton 2019, won Best use of Google Cloud.
-
Source Code here
SeeC
- SeeC is there for you to "See Carbon(CO2)" and motivate you to commute using greener alternatives. How? In the first place, our application tracks your usage of public transportation and proportionally rewards you with Carbon Credit - a virtual in-app currency. Similarly, the users have the opportunity to convert their walking/running miles. The earned Carbon Credits in return can be used to purchase vouchers from various partner vendors.
In that way, using metro for a week could easily earn you a cheaper ticket for the next time or a delicious free smoothie from your favorite juice bar.
Most importantly, in the background of you collecting your next benefit, you have also managed to be eco-friendly and active.
- Created at PennApps
-
Source Code here
Contact
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