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.
Helios
國立台灣大學
Taipei, 台灣
專業背景
- 目前狀態就學中・目前沒有興趣尋找新的機會
- 專業數據工程師
- 產業軟體
- 工作年資小於 1 年 (小於 1 年相關工作經驗)
- 管理經歷我有管理 1～5 人的經驗
- 技能
- 語言能力English・專業
- 最高學歷碩士
求職偏好
- 預期工作模式全職・對遠端工作有興趣
- 希望獲得的職位
- 期望的工作地點Taipei, 台灣・台灣新竹市新竹・台灣
- 接案服務不提供接案服務
工作經驗
優化算法工程師
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.
國科會科技部核心計畫：少量資料下的機器學習
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.
Teaching Assistant
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.
Teaching Assistant
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.
NLP Engineer
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.
Ride Operator
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.
學歷
Master’s Degree
・
Electrical Engineering and Computer Science簡介
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.
Bachelor’s Degree
・
Mathematics簡介
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.
High School Diploma