Avatar of 黃靖中.
黃靖中
Second-Year Graduate Student at EECS, NTU
ProfileResume
Posts
0Connections
Print
Avatar of the user.

黃靖中

Second-Year Graduate Student at EECS, NTU
I am a highly self-motivated and self-taught learner who is thirsty for learning new concepts and technologies. My personal interest includes mathematics (particularly in statistics, mathematical model building, and analysis), data science (e.g., machine/deep learning, data mining, artificial intelligence), financial engineering (qualitative analysis). I am familiar with deploying deep learning models to real-life applications. Thanks to my mathematical background (bachelor's degree in the National Taiwan University, NTU), I also have great confidence in solving problems with mathematical model building and analysis. In particular, I have learned plenty of statistical analysis tools for both financial analysis and analyzing the learnability of neural network models. I earned my math Bachelor's degree from NTU in 2017 and worked as an NLP engineer at the Lingtelli company. Currently, I am a second-year graduate student in the electrical engineering and computer science department of NTU and am expected to graduate in mid-2022.
Logo of the organization.
Helios
Logo of the organization.
國立台灣大學
Taipei, 台灣

Professional Background

  • Current status
    Studying
    Not open to opportunities
  • Profession
    Data Engineer
  • Fields
    Software
  • Work experience
    Less than 1 year (Less than 1 year relevant)
  • Management
    I've had experience in managing 1-5 people
  • Skills
    C
    C++
    Python
    SQL/MySQL
    Flask
    PyTorch
  • Languages
    English
    Professional
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    Full-time
    Interested in working remotely
  • Desired positions
  • Desired work locations
    Taipei City, Taiwan
    Hsinchu, Hsinchu City, Taiwan
    Taiwan
  • Freelance
    Non-freelancer

Work Experience

Logo of the organization.

優化算法工程師

Jun 2021 - Present
I am in an optimization team. Currently, our goal is to automate the design process of antennas and integrated circuits. Particularly, I deployed evolutionary algorithms like covariance matrix adaptation evolution strategy (CMA-ES) and simple genetic algorithms (GA) to help optimization. Besides optimization, I sometimes visualize data and write the front-end for our company website.
Logo of the organization.

國科會科技部核心計畫:少量資料下的機器學習

Jan 2021 - Present
This is a project held by the Ministry of Science and Technology in Taiwan. I was a member of a five-people team (including the professor). We tackled training a neural network when there are only a limited amount of data. We integrated supervised learning, self-supervised learning, batch pseudo-labeling, Mixup, and Smart Augmentation in our system. In addition, we focused on industrial datasets, e.g., wafer datasets, electrocardiography, etc. We successfully derived a pleasing prediction accuracy using our framework.
Logo of the organization.

Teaching Assistant

Sep 2021 - Jan 2022
5 mos
This was my second time being a teaching assistant for the freshmen of the EECS department in NTU. Different from the last time, I was in charge of leading a group of four TAs. I organized and prioritized tasks for them, and ran our teaching program systematically. I also participated in the problem designing part like the last time.
Logo of the organization.

Teaching Assistant

Sep 2020 - Jan 2021
5 mos
This was my first year being a teaching assistant for the freshmen of the EECS department in NTU. I was responsible for designing challenging programming problems for both homework and exams. Besides, I held QA sessions weekly to help students gain a more solid understanding of C/C++ programming. As the saying goes, teaching is the best way to learn. I learned a lot from students while I tried to explain abstract concepts to them.
Logo of the organization.

NLP Engineer

Feb 2018 - Dec 2018
11 mos
I was responsible for the training of word vectors for a medical NLP engine. Since we are a small company, I had an end-to-end experience in NLP. To be precise, I scraped data from both Wikipedia and some medical websites (Mandarin corpus) using Python, preprocessed the data (including noise filtering, sentence segmentation, etc), and trained a neural network for a good representation of these words. Finally, these word vectors are used for downstream tasks like medical chat-bot, and intelligent medical QA systems.
Logo of the organization.

Ride Operator

Jun 2016 - Sep 2016
4 mos
I worked and traveled in Kansas city in the US for around three months when I was in my third year of college. I worked as a ride operator in the Worlds of Fun amusement park. I was mainly in charge of operating roller coasters, greeting the tourists, and making sure that everyone had the best day of their life. At the same time, this experience broadened my international horizon and polished my English oral speaking skill.

Education

Logo of the organization.
Master’s Degree
Electrical Engineering and Computer Science
2020 - 2022
Description
I am currently in my second year as a graduate student in the Taiwan Evolutional Intelligence Laboratory. My research focuses on optimizing the DMSGA-II algorithm, which is the state-of-the-art black-box optimization algorithm for combinatory optimization. Besides, I have taken courses in computer visions, database systems, machine learning. All these courses make me a qualified me as a well-trained data science engineer.
Logo of the organization.
Bachelor’s Degree
Mathematics
2013 - 2017
Description
Four years of mathematical training make me good at mathematical reasoning, deduction, reading proofs, and abstract thinking. My personal interest is in probability theory and statistics. Currently, I teaching myself mathematical finance and stochastic process.
Logo of the organization.
High School Diploma
2010 - 2013