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李承恩
AI研發工程師
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李承恩
AI研發工程師
我有三年的Python編程經驗,也熟悉Tensorflow以及Pytorch的應用,碩士在學期間主要協助醫生開發深度學習模型的應用,其中主要關注於影像自動標注的應用。而在碩士班初期也有接觸高效能計算,運用平行計算來加速數值演算法的技巧,因此約有一年的C++編程經驗,以及使用平行運算相關程式庫(OpenMP、CUDA)的經驗。 希望可以利用數學及程式編程的能力並應用AI來解決實務的問題。
國立臺灣大學
國立臺灣大學
Taipei City, 台灣
Professional Background
Current status
Profession
Research / R&D
Fields
Software
Work experience
Less than 1 year (1-2 years relevant)
Management
None
Skills
Python
Tensorflow
PyTorch
C++
Numerical Computing
Languages
English
・
Intermediate
Highest level of education
Master
Job search preferences
Desired job type
Full-time
・
Interested in working remotely
Desired positions
Desired work locations
Freelance
Full-time freelancer
Work Experience
研究助理
國立臺灣大學
Aug 2020
-
Feb 2021
・
7 mos
主要工作內容為協助醫生開發深度學習模型流程並應用於腦腫瘤的自動標註,在這份工作中,我們將模型的準確度從0.5提升至0.8,其中小於一公分的腫瘤之模型誤判率也從每個病患2顆減少至少於1顆,而在最後的外部驗證中,模型的準確率也有約0.65的水準。
軟體工程師(intern)
新思科技股份有限公司(synopsys)
Jul 2018
-
Aug 2018
・
2 mos
在這份工作中我們主要負責IC設計中layout的電阻量測功能,在建模之後會變成一個大型矩陣問題,無法使用直接法來求解矩陣,因此使用疊代法。而我主要負責調校數值建模模型並且修正其數值疊代法之收斂性,在最後我將所有case的計算電阻值之誤差(與真實解)修正至小於5%內。
Education
國立臺灣大學
Master of Science (MS)
・
應用數學
2017 - 2020
國立成功大學
Bachelor of Science (BS)
・
數學
2013 - 2017