Philip Cho

Philip Cho

Machine Learning Engineer

Hello there, welcome to my website! My name is Philip Cho.
I am a Machine Learning Engineer and an Infrastructure Enginner, working at Skylab Technologies.
Below is a simplified version of my resume relevant to my current profession.

PDF
Email
Phone
778-989-0916
Website
https://chophilip21.github.io/
GitHub
chophilip21
LinkedIn
Philip Cho

Experience

– present

Machine Learning Engineer at Skylab Technologies

Skylab Technologies is a AI based company in Vancouver specialized in instant photo retouching, color correction, glare removal, and etc. As a Machine Learning Engineer at Skylab, I have:

Highlights

  • Defined more efficient database design using Object Relational Mapping (ORM) for the company's ML training database, migrating existing data to the new database
  • Extracted and cleaned scattered data in NAS and uploaded data to cloud storage to ensure reliability and accessibility of data.
  • Worked on company's central infrastructure to improve the efficiency of ML training and inference process
  • Developed a live demo service at Computer Vision and Pattern Recognition (CVPR) 2023 conference to showcase the company's AI based retouching service

–

Computer Vision Software Engineer at Onecup AI

Onecup AI is a AI based company in Vancouver that applies object detection, tracking, and various CV algorithms to monitor livestock (cow, sheep, pigs). At Onecup AI, I have worked on deep learning pipeline modeling and research work involving:

Highlights

  • Created a Optical Character Recognition (OCR) model based on Recurrent Convolutional Neural Network (RCNN) that accurately reads the tags on a cattle to identify detected instance
  • Constructed Face-ID model using progressive CNN that recognizes cows based on extracted facial bounding box of a cow. Cross checked the results with the OCR model in order to ensure top accuracy
  • Trained beta deep learning models to be deployed to prototype using Nvidia TAO library and AWS Rekognition
  • Contributed to Canadian Angus Association (CAA)'s phenotype scoring system by presenting a novel approach that uses numerical, ratio based calculations to diagnose the condtions of cows' hooves, udders, and etc

Education

–

Bachelor in Computer Science & Engineering
  from Master's degree, Computing Science, Visual Computing with GPA of

Courses

  • Concurrent Programming
  • Data Science
  • Operating Systems
  • Computer Architecture
  • Database Systems
  • System Programming

Engineer Information Processing (정보처리기사)

Languages

Korean
Fluency: Native speaker
English
Fluency: Native speaker
Japanese
Fluency: Native speaker

Skills

Kernel Development
Level: Intermediate
Keywords:
  • Concurrent Programming
  • C/C++
  • Rust
Algorithm
Level: Intermediate
Web Development
Level: Junior
Keywords:
  • HTML
  • CSS
  • Javascript
Sociability
Level: Master
Keywords:
  • Leadership
  • Affable

Interests

Activity
Keywords:
  • Tennis
  • Snowboarding
  • Cycling
Reading
Keywords:
  • J. R. R. Tolkien
  • 이영도
  • 전민희
Gaming
Keywords: