Nyx Iskandar

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Nyx's GitHub: https://github.com/xyntechxNyx's LinkedIn: https://www.linkedin.com/in/nyx-iskandar/Nyx's email: nyx@berkeley.edu
Nyx in front of Golden Gate Bridge

About

>>> intro()

Hi! I'm Nyx, a coder and tech founder committed to building impactful tech to solve problems in the community.

>>> edu()

I'm currently studying Electrical Engineering and Computer Sciences (EECS) at UC Berkeley, where I also contribute to organizations like Machine Learning at Berkeley and the Associated Students of the University of California (Student Government).

>>> scholarship()

I've been awarded the highly selective, full-ride Smart Nation Scholarship from the Singapore Government for the entirety of my undergraduate studies.

Exp

UC Berkeley CBE

09/2023 - 12/2023

Undergraduate Researcher

Fields: Machine Learning, Web Development

Techs: Three.js, Next.js, Axios, Chakra UI

GovTech Singapore

04/2023 - 07/2023

Software Engineering Intern

Field: Web Development

Techs: React, Redux, WebSocket, Ruby on Rails, MySQL, AWS

A*STAR Singapore

11/2021 - 01/2022

Robotic Intelligence Research Intern

Fields: Robotics, Deep Learning, Computer Vision

Techs: Robotic Operating System (ROS), UR5, CNN

Projects

CubeCV

11/2023 - Now

ML Engineer

Aim: Translate a video input of a Rubik's Cube into a 2D AR cube net with accurate colors and their relative positions

Fields: Computer Vision, Instance Segmentation, Object Detection

Techs: YOLOv8, SAM

NexLiber

05/2022 - Now

Founder and Lead Developer

Aim: Promote greater accessibility in coding education and wider collaboration amongst student developers

Fields: Web Development, Education, Dev Community

Techs: Next.js, Supabase, TinaCMS, Tailwind CSS

Code for Hope

04/2021 - 04/2022

Founder and Lead Mentor

Aim: Close the income gap by teaching underprivileged students the highly relevant and sought-after skill of coding

Field: Education

Tech: Python

Research

Manga Layout Analysis via Deep Learning

https://doi.org/10.1007/978-981-19-7222-5

Aim: Alleviate the extremely heavy workload faced by Japanese animators daily when adapting manga into anime, movies, etc.

Fields: Deep Learning, Instance Segmentation, Optical Character Recognition

Techs: TensorFlow, Keras, OpenCV