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This is a description of my resume.

Basics

Name Jaikwan (Jay) Bae
Label Scientist
Email jaikwan.bae@gmail.com
Phone (585) 967-8906
Url https://utilmon.github.io/
Summary A PhD physicist from Cornell University, studied photoelectric effect and electron beam properties

Work

  • 2023 - Present
    Staff Engineer
    Samsung Electronics
    Developing image processing algorithms for semiconductor chip failure analysis. Convolutional neural network (CNN) machine learning models and traditional computer vision models were deployed and maintained to analyze SEM (scanning electron microscopy) and TEM (transmission electron microscopy) images.
    • Computer Vision
    • Image Processing
  • 2016 - 2022
    Research Assistant
    Cornell University
    Imporved Photocathode lifetime with unconventional CVD activation methods and studied photoemission processes with various simulation methods
    • Condensed Matter Physics
    • Accelerator Physics
  • 2014 - 2016
    Research Assistant
    University of Rochester
    Studied genetic optimization of ultra‑high Q‑factor GaAs L3 photonic crystal cavities and NV and SiV color centers in Nanodiamonds
    • Optics
    • Condensed Matter Physics
  • 2011 - 2013
    Combat Police
    The Korean National Police Agency
    Redesigned the parking lot system of the police station based on statistics
    • Statistical approach

Education

  • 2016 - 2022

    NY, USA

    PhD & MS
    Cornell University, Ithaca, NY
    Physics
    • Advisor: Ivan Bazarov
  • 2010 - 2016

    NY, USA

    BS
    University of Rochester, Rochester, NY
    Physics
    • Magna Cum Laude
    • Dean's Scholarship Recipient

Certificates

Skills

Programming Language
Python
C
C++
Java
MATLAB
Mathematica
LabVIEW
LaTex
SQL
Technology
Qiskit
Q#
Pennylane
Cirq
AWS (EC2,Lambda,S3)
PyTorch
Git
Docker
REST
Tensorflow

Languages

Korean
Native speaker
English
Fluent

Interests

Physics
Quantum Mechanics
Quantum Computing
Quantum Information
Semiconductor Physics
Condensed Matter Physics
Computer Science
Machine Learning
Computer Vision
Image Processing
Generative AI (video, audio)

Projects

  • 2021 - 2023
    EasyIB
    Built a python wrapper for a stock/option trading broker API (Interactive Brokers). This project has recorded 79 stars on GitHub and 1000s of downloads on PyPI.
    • 79 stars
    • 1000s of Downloads
  • 2021 - 2022
    checkUSCIS
    Built a python docker image that reports immigration application status and gets executed based on the cronjob schedule as an AWS lambda function.