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4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Machine Learning Software Engineer @AMD2021 ~ 現在
・
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
就職中
全職 / 對遠端工作有興趣
6 到 10 年
National Chiao Tung University
・
Computer Science
AI Engineer @Revlis Biotech Co. Ltd., Yunlin County, Taiwan2022 ~ 現在
・
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
就職中
全職 / 對遠端工作有興趣
10 到 15 年
National Sun Yat-sen University
・
Biological Oceanography, Multivariate Analysis, Time Series Analysis 
Teaching Assistant @Georgia Institute of Technology | The University of British Columbia2014 ~ 2019
・
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
實習生 / 對遠端工作有興趣
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
全職 / 對遠端工作有興趣
4 到 6 年
交通大學
・
電子工程系
就職中
全職 / 對遠端工作有興趣
6 到 10 年
國立台灣大學
・
經濟學就職中
全職 / 對遠端工作有興趣
6 到 10 年
IIT Bombay
・
MTech in Electronic Systems就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
國立臺灣科技大學
・
電機系
Senior Software Engineer @U-NEXT Co., Ltd.2021 ~ 現在
・
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
就職中
全職 / 對遠端工作有興趣
4 到 6 年
Nation Taiwan University
・
Bioelectronic and Bioinformatics
Algorithm Engineer @Delta Electronics2017 ~ 現在
・
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
就職中
全職 / 暫不考慮遠端工作
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
全職 / 對遠端工作有興趣
6 到 10 年
國立台北大學
・
統計最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
就學中
求職階段
專業
數據科學家
產業
軟體
工作年資
小於 1 年工作經驗（2 到 4 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
・
中階
求職偏好
希望獲得的職位
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
預期工作模式
全職
期望的工作地點
台灣新北台北, 台灣新竹市北新竹, 台灣台北板橋區新北, 台灣新竹市北
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
國立交通大學
主修科系
工業工程與管理學系
楊佳儒 Roger Yong
I have experience in Statistical Tests, Data Analysis, Machine Learning, Deep Learning and Image Recognition. I am also with programming skills in Python, SQL, R, HTML. Besides that, I am a self-motivated person who is eager to gain more experience on programming and a good teamworker.
1996, New Taipei，TW 0939-121-671
[email protected]
Experience
IE Engineer / Vanguard International Semiconductor Corporation
2021 / 8 - 2021 / 10, 2022 / 2 - Present
Job Description:
- Tool Productivity Management Report System
- CAPEX New Tool Performance Tracing
- Abnormal Tool Performance Auto-Alarm Email
- IE Dept Database Development and Management
Python | Power BI | Oracle SQL | Microsoft SQL | Django | UiPath
AI Algorithm Intern / Gallant Precision Machining Co Ltd
2021 / 3 - 2021 / 6
Job Description:
Improve the algorithm by localizing and classifying defects on wafers.
By using machine learning and deep learning methods to improve the algorithm by localizing and classifying defects on wafers. The purpose is to rescue the overkilled wafer (which was supposed to be normal but was detected as a defective product by AOI machine).
Methodology:
- Resnet
- Densenet
- Defect Detection Using Denoising Convolutional Autoencoder
- Unsupervised Anomaly Detection Using Deep Autoencoding Gaussian Mixture model
Python | PyTorch | Machine Learning | Deep Learning | OpenCV
Automation Developer Intern / Vanguard International Semiconductor Corporation
2020 / 7 - 2020 / 8
Job Description:
- Face Recognition
- Lot ID Recognition
- Automation Report System Development
Python | PyTorch | OpenCV | UiPath | Power BI | Deep learning | Image Recognition |
Object Detection
Research Assistant / National Chiao Tung University Big Data Research Center
2018 / 7 - 2020 / 12
Job Description:
- Analyze the selection orientation and effectiveness of various courses in the college through statistics method or machine learning.
- Analyze world university rankings
- Analyze paper influence of Kaohsiung Medical University
- Course recommendation system
Data analysis | Database managemen | Statistical Tests | Machine Learning | Web crawler
Research Assistant / National Chiao Tung University
2019 / 9 - 2021 / 7
Research topics:
- Performance Analysis of F-policy GI/M/1/K Queuing System with Heterogeneous Service Rates
- Performance comparison of typical machine learning algorithms for abnormal prediction of process capability indicators under unbalanced data
Operation Research | Machine Learning | Deep Learning | Python | PyTorch
Industry-Academia Cooperation / CAR GO ENTERPRISE LTD.
2019 / 11 - 2020 / 6
Job Description:
- Warehouse management of customized motor vehicle parts vacuum forming process
- Quality monitoring system development
Database development | Data warehouse | Python | Django | PostgreSQL
EDUCATION
Master of Industrial Engineering and Management
National Chiao Tung University
2019 / 9 - 2021 / 7
Bachelor of Industrial Engineering and Management
National Chiao Tung University
2015 / 9 - 2019 / 6
Skill
Programming
Python, R, SQL, Power BI
Skill
Data Analysis, Operation Research, Machine Learning, Statistic, Deep Learning, Database management
Research Program
Assessing Create, Interdisciplinary and Hand-on Learning Outcomes in Innovative Creative Technology Co-working Space
2019/ 7 - 2020/ 6
Analyze the selection orientation and effectiveness of various courses in the college through statistics method or machine learning... etc.
Optimal Inventory Replenishment Policy for a Multi-server Queueing System with Balking, Reneging and Feedback
2020/9 - 2020/ 7
Performance Analysis of GI/M/1/K Queuing System with F-policy and Heterogeneous Service Rates and Optimization
Performance Comparison Of Typical Machine Learning Algorithms For Abnormal Prediction Of Process Capability Indicators Under Unbalanced Data
2020/ 9 - 2021/ 7
Establish interpretable and repayable predictive models through the typical machine learning algorithms, and use process capability indicators as the response variables for consistent quality abnormalities, abnormal production yields, and abnormal process capabilities to compare the performance of different algorithms in limited samples.
OTHERS
The 16th Annual Meeting of the Operations Research Society of Taiwan (ORSTW 2020)
Date : 2020/11/16
subject : The Application of Statistics and Quantity Method
Thesis Topic: Performance Analysis of GI/M/1/K Queuing System with F-policy and Heterogeneous Service Rates
Journal Article-Journal of Industrial and Management Optimization (JIMO)
楊佳儒 Roger Yong
I have experience in Statistical Tests, Data Analysis, Machine Learning, Deep Learning and Image Recognition. I am also with programming skills in Python, SQL, R, HTML. Besides that, I am a self-motivated person who is eager to gain more experience on programming and a good teamworker.
1996, New Taipei，TW 0939-121-671
[email protected]
Experience
IE Engineer / Vanguard International Semiconductor Corporation
2021 / 8 - 2021 / 10, 2022 / 2 - Present
Job Description:
- Tool Productivity Management Report System
- CAPEX New Tool Performance Tracing
- Abnormal Tool Performance Auto-Alarm Email
- IE Dept Database Development and Management
Python | Power BI | Oracle SQL | Microsoft SQL | Django | UiPath
AI Algorithm Intern / Gallant Precision Machining Co Ltd
2021 / 3 - 2021 / 6
Job Description:
Improve the algorithm by localizing and classifying defects on wafers.
By using machine learning and deep learning methods to improve the algorithm by localizing and classifying defects on wafers. The purpose is to rescue the overkilled wafer (which was supposed to be normal but was detected as a defective product by AOI machine).
Methodology:
- Resnet
- Densenet
- Defect Detection Using Denoising Convolutional Autoencoder
- Unsupervised Anomaly Detection Using Deep Autoencoding Gaussian Mixture model
Python | PyTorch | Machine Learning | Deep Learning | OpenCV
Automation Developer Intern / Vanguard International Semiconductor Corporation
2020 / 7 - 2020 / 8
Job Description:
- Face Recognition
- Lot ID Recognition
- Automation Report System Development
Python | PyTorch | OpenCV | UiPath | Power BI | Deep learning | Image Recognition |
Object Detection
Research Assistant / National Chiao Tung University Big Data Research Center
2018 / 7 - 2020 / 12
Job Description:
- Analyze the selection orientation and effectiveness of various courses in the college through statistics method or machine learning.
- Analyze world university rankings
- Analyze paper influence of Kaohsiung Medical University
- Course recommendation system
Data analysis | Database managemen | Statistical Tests | Machine Learning | Web crawler
Research Assistant / National Chiao Tung University
2019 / 9 - 2021 / 7
Research topics:
- Performance Analysis of F-policy GI/M/1/K Queuing System with Heterogeneous Service Rates
- Performance comparison of typical machine learning algorithms for abnormal prediction of process capability indicators under unbalanced data
Operation Research | Machine Learning | Deep Learning | Python | PyTorch
Industry-Academia Cooperation / CAR GO ENTERPRISE LTD.
2019 / 11 - 2020 / 6
Job Description:
- Warehouse management of customized motor vehicle parts vacuum forming process
- Quality monitoring system development
Database development | Data warehouse | Python | Django | PostgreSQL
EDUCATION
Master of Industrial Engineering and Management
National Chiao Tung University
2019 / 9 - 2021 / 7
Bachelor of Industrial Engineering and Management
National Chiao Tung University
2015 / 9 - 2019 / 6
Skill
Programming
Python, R, SQL, Power BI
Skill
Data Analysis, Operation Research, Machine Learning, Statistic, Deep Learning, Database management
Research Program
Assessing Create, Interdisciplinary and Hand-on Learning Outcomes in Innovative Creative Technology Co-working Space
2019/ 7 - 2020/ 6
Analyze the selection orientation and effectiveness of various courses in the college through statistics method or machine learning... etc.
Optimal Inventory Replenishment Policy for a Multi-server Queueing System with Balking, Reneging and Feedback
2020/9 - 2020/ 7
Performance Analysis of GI/M/1/K Queuing System with F-policy and Heterogeneous Service Rates and Optimization
Performance Comparison Of Typical Machine Learning Algorithms For Abnormal Prediction Of Process Capability Indicators Under Unbalanced Data
2020/ 9 - 2021/ 7
Establish interpretable and repayable predictive models through the typical machine learning algorithms, and use process capability indicators as the response variables for consistent quality abnormalities, abnormal production yields, and abnormal process capabilities to compare the performance of different algorithms in limited samples.
OTHERS
The 16th Annual Meeting of the Operations Research Society of Taiwan (ORSTW 2020)
Date : 2020/11/16
subject : The Application of Statistics and Quantity Method
Thesis Topic: Performance Analysis of GI/M/1/K Queuing System with F-policy and Heterogeneous Service Rates