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进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Machine Learning Software Engineer @AMD2021 ~ 现在
・
Machine Learning Engineer
兩個月內
deep learning. Deep Learning Engineer , CVITEK, OctSep 2021 Spin off from Bitmain . Mainly focus on deep learning accelerator (so called NPU or TPU) and stereo vision accelerator. Deep learning accelerator a. Research and prototype the int8, int4 and bf16 quantization algorithm. b. Mix-precision algorithm based on Post training, result had applied patent in US and CN (USA1, CNA). c. Model compression flow (heterogeneous quantization). d. Design quantization flow in deep learning compiler (graph optimization, calibration, fine tuning, mix-precision). e. Implement frontend of deep learning compiler (high
就职中
全职 / 对远端工作有兴趣
6 到 10 年
National Chiao Tung University
・
Computer Science
AI Engineer @Revlis Biotech Co. Ltd., Yunlin County, Taiwan2022 ~ 现在
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AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
兩個月內
Gavin Jang AI Engineer Taichung City, Taiwan Highly skilled in Machine/ Deep Learning, Statistics, Time Series Analysis, and Multivariate Analysis. Have built a WaveGAN model for generating 12 LEADs ECG signals and a U-Net model for reconstructing 12 LEADs ECG signals. Accomplishments De-Noising Auto-Encoder for ECG Signals U-Net for Reconstructing 12 LEADs ECG Signals WaveGAN for Generating 12 LEADs ECG Signals Deep Learning Model for Heart Disease Diagnosis AI-Based Blood Sugar Detection with ECG Signals Data Visualization and Deep Learning Model for Deep-Sea Fishery Work History AI Engineer Revlis Biotech Co
就职中
全职 / 对远端工作有兴趣
10 到 15 年
National Sun Yat-sen University
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Biological Oceanography, Multivariate Analysis, Time Series Analysis 
Teaching Assistant @Georgia Institute of Technology | The University of British Columbia2014 ~ 2019
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PHD Student
超過一年
Lindsay Yuling Chuang I am a Ph.D. candidate of Geophysics at Georgia Tech. My research mainly focus on using various machine learning and deep learning algorithms to solve different seismological problems. I am a data enthusiastic with 10+ years full stack developing experiences. Atlanta, GA, USA Publication Journal paper Earthquake transformer - an attentive deep-learning model for simultaneous earthquake detection and phase picking publication dat SM Mousavi, WL Ellsworth, W Zhu, LY Chuang, GC Beroza Nature communications, 1-12 Plateau subduction, intraslab seismicity, and the Denali (Alaska) volcanic gap publication date L Chuang
Intern / 对远端工作有兴趣
6 到 10 年
The University of British Columbia
・
M.S. in Geophysics
機器學習演算法工程師
超過一年
吳杰 我畢業於交通大學電子工程研究所，目前專注於機器學習這塊領域。碩士論文主要是研究：如何在物聯網中，利用機器學習的演算法降低總能量消耗。 自己在服役期間，用Deep learning做了一些side project，例如：輸入照片，自動辨別性別與年齡，語意分析，走迷
全职 / 对远端工作有兴趣
4 到 6 年
交通大學
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電子工程系
就职中
全职 / 对远端工作有兴趣
6 到 10 年
國立台灣大學
・
經濟學就职中
全职 / 对远端工作有兴趣
6 到 10 年
IIT Bombay
・
MTech in Electronic Systems就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
國立臺灣科技大學
・
電機系
Senior Software Engineer @U-NEXT Co., Ltd.2021 ~ 现在
・
Software Engineer
一個月內
Tensorflow/Keras/OpenCV Software Engineer • 盛星科技 | Astra Inc. 十二月四月Build innovative computer vision and pedestrian detection backend service - Build and maintain a high availability of deep learning-based computing systems - Develop human detection and facial recognition deep learning models and algorithms [Core technology] - Golang/Python - AWS/DynamoDB/SQS/EC2 - Tensorflow/Keras/OpenCV/openVINO Platform Engineer Intern • Intel 二月六月Survey internal paper and develop the internal script for Xeon SP testing platform - FPGA, OpenCL deep learning and machine learning research - Develop
就职中
全职 / 对远端工作有兴趣
4 到 6 年
Nation Taiwan University
・
Bioelectronic and Bioinformatics
Algorithm Engineer @Delta Electronics2017 ~ 现在
・
Algorithm Engineer
一個月內
莊承翰 The devil is in the detail. Video and Image Algorithm, Deep learning, Software development [email protected] Summary Over 8 years of experience in deep learning and more than 10 years of experience in computer vision/image processing. Capable of independently or collaboratively building AI (image/video) products from scratch with various teams. Analyzing, and improving deep learning systems. Kaggle Top 1% ( 16 /Sartorius - Cell Instance Segmentation (2021/12~2021/12) Top 4% ( 85 /Human Protein Atlas Image Classification (2018/11~2019/1
就职中
全职 / 暂不考虑远端工作
4 到 6 年
National Chin-Yi University of Technology
資料分析師 @天鏡科技
資料分析師
一年內
categorical data, text data, imbalance data. Languages Mandarin, English Experience Data Analyst - skymirror co.，AprMaydata modelling Make statistical model for daily or long term trading strategy of Taiwan, China, US future market, and oversea financial derivatives. Reviewing and improving the model. Applying financial indicator or machine learning e.g. Xgboost and RNN to predict market. And improve the model. Study new technical about deep learning or mathematical algorithm and try it on trading. Main goal is to improve model accuracy. Data visualization Communicate with manager how to calculate and decide
全职 / 对远端工作有兴趣
6 到 10 年
國立台北大學
・
統計最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
专业背景
目前状态
就职中
求职阶段
目前没有兴趣寻找新的机会
专业
机器学习工程师, 交易员, 软体工程师
产业
风险投资与私募股权
工作年资
2 到 4 年
管理经历
我有管理 1～5 人的经验
技能
语言能力
Chinese
・
母语或双语
English
・
进阶
求职偏好
希望获得的职位
Data Scientist/Quantitative Researchers & Traders
预期工作模式
全职
期望的工作地点
Taipei, Taiwan
远端工作意愿
对远端工作有兴趣
接案服务
是，我利用业余时间接案
学历
学校
National Taiwan University
主修科系
Computer Science and Information Engineering
Wei-Lun, LUO
Research Assistant
Taipei City, Taiwan
Work Experience
Research Assistant • Research Center for Information Technology Innovation, Academia Sinica
九月 2020 - Present
Multiperiod Corporate Default Prediction
- Provide a consistent term structure of cumulative default probabilities through a carefully designed neural network.
- Tailor neural networks through economic domain knowledge to prevent our model from overfitting.
- Outperform the state-of-art statistical model on AR(10%) and RMSE (20%) for US public companies from 1990-2017.
- Part of this work was published at the 2022 SIAM International Conference on Data Mining (SDM).
Importance Sampling in Reinforcement Learning
- Implement Approximate Bayesian Computation(ABC) algorithm on Multi Armed Bandits (MAB) problems for faster computation.
Team leader, Recommendation Algorithms for KKStream
- Collaborate with team members and others from KKStream to construct a knowledge graph for items to improve performance.
Intern • E.SUN BANK
七月 2019 - 二月 2020
- Developed a trading platform with functions of optimization algorithms.
- Implemented reinforcement learning to solve backward stochastic differential equations.
- Designed an introduction lecture about reinforcement learning for a research group in the company (about 15 persons).
- Applied machine learning approaches to Forex forecasting.
Quantitative trader • Bincentive Inc, Taiwan
八月 2018 - 四月 2019
- Developed trading strategies on cryptocurrency markets.
- Crawled cryptocurrency markets data from different exchanges.
- Developed a part of trading API.
Quantitative Trader • Fuheng International Investment
七月 2013 - 一月 2016
Developed over 20 rule-based trading strategies on TX and Forex and evaluated each strategy in return over maximum drawdown.
Education
2018 - 2020
National Taiwan University
Computer Science and Information Engineering
Thesis: Risk-based Reward Shaping Reinforcement Learning for Optimal Trading Execution
Courses:
- artificial intelligence-related courses (e.g., machine learning, deep learning)
- courses about machine learning-based applications in finance
2012 - 2016
National Chengchi University
Money and Banking
Awards
- Kaggle Expert
- Intel & MobileODT Cervical Cancer Screening, bronze metal, 2017
- Santander Value Prediction Challenge, bronze metal, 2018
- IEEE, The 2018 Vechicular Networking Conference, App Contest Award - First Prize
- Bó Lè Associates, AIxCSR, 2nd, 2018
Publication
- Wei-Lun Luo, Yu-Ming Lu, Jheng-Hong Yang, Jin-Chung Duan, Chuan-Ju Wang. ”Multiperiod Corporate Default Prediction Through Neural Parametric Family Learning.” Proceedings of the 2022 SIAM International Conference on Data Mining (SDM).
Project
- Hand detection through mediapipe
- Industrial application: Ensure each production worker follows a standard process through detected hands' positions via mediapipe.
- Medical application: automatically detect each finger angle.
Skills
Programming
- Python
- Powerlanguage
Language
- Chinese (native)
- English
Wei-Lun, LUO
Research Assistant
Taipei City, Taiwan
Work Experience
Research Assistant • Research Center for Information Technology Innovation, Academia Sinica
九月 2020 - Present
Multiperiod Corporate Default Prediction
- Provide a consistent term structure of cumulative default probabilities through a carefully designed neural network.
- Tailor neural networks through economic domain knowledge to prevent our model from overfitting.
- Outperform the state-of-art statistical model on AR(10%) and RMSE (20%) for US public companies from 1990-2017.
- Part of this work was published at the 2022 SIAM International Conference on Data Mining (SDM).
Importance Sampling in Reinforcement Learning
- Implement Approximate Bayesian Computation(ABC) algorithm on Multi Armed Bandits (MAB) problems for faster computation.
Team leader, Recommendation Algorithms for KKStream
- Collaborate with team members and others from KKStream to construct a knowledge graph for items to improve performance.
Intern • E.SUN BANK
七月 2019 - 二月 2020
- Developed a trading platform with functions of optimization algorithms.
- Implemented reinforcement learning to solve backward stochastic differential equations.
- Designed an introduction lecture about reinforcement learning for a research group in the company (about 15 persons).
- Applied machine learning approaches to Forex forecasting.
Quantitative trader • Bincentive Inc, Taiwan
八月 2018 - 四月 2019
- Developed trading strategies on cryptocurrency markets.
- Crawled cryptocurrency markets data from different exchanges.
- Developed a part of trading API.
Quantitative Trader • Fuheng International Investment
七月 2013 - 一月 2016
Developed over 20 rule-based trading strategies on TX and Forex and evaluated each strategy in return over maximum drawdown.
Education
2018 - 2020
National Taiwan University
Computer Science and Information Engineering
Thesis: Risk-based Reward Shaping Reinforcement Learning for Optimal Trading Execution
Courses:
- artificial intelligence-related courses (e.g., machine learning, deep learning)
- courses about machine learning-based applications in finance
2012 - 2016
National Chengchi University
Money and Banking
Awards
- Kaggle Expert
- Intel & MobileODT Cervical Cancer Screening, bronze metal, 2017
- Santander Value Prediction Challenge, bronze metal, 2018
- IEEE, The 2018 Vechicular Networking Conference, App Contest Award - First Prize
- Bó Lè Associates, AIxCSR, 2nd, 2018
Publication
- Wei-Lun Luo, Yu-Ming Lu, Jheng-Hong Yang, Jin-Chung Duan, Chuan-Ju Wang. ”Multiperiod Corporate Default Prediction Through Neural Parametric Family Learning.” Proceedings of the 2022 SIAM International Conference on Data Mining (SDM).
Project
- Hand detection through mediapipe
- Industrial application: Ensure each production worker follows a standard process through detected hands' positions via mediapipe.
- Medical application: automatically detect each finger angle.
Skills
Programming
- Python
- Powerlanguage
Language
- Chinese (native)
- English