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Definition of Reputation Credits
范姜皓 Finn
手機 : 0921679125
信箱 : [email protected]
擅長深度學習和機器學習，擁有實務AI專案經驗。 3 年以上使用 Python 處理資料經驗，熟悉網路爬蟲和 SQL。 生產管理背景，實習與畢業論文以 AI 與科技營運為主題，從事智慧工廠的相關研究， AIoT工廠生產實務經驗。
學歷
勞動部緯育Tibame AI工程師訓練班, Sep 2020 ~ Jan 2021
- 相關課程: Python, Tensorflow, Keras, MySQL, OpenCV, Flask, HTML5, WebCrawler, LineChatBot
- 專案題目「智慧漁業養殖」，使用Deep Learning做影像辨識，偵測水質及控制投餌量，LineChatBot呈現結果
- 組內負責硬體架設與維護、計畫流程規劃、資料收集與清洗、AI建模、開發整合等工作
國立台灣科技大學, 碩士學位, 工業管理, Sep 2017 ~ Jun 2019
- 研究領域iIOT : 智慧⼯廠
- 論⽂題⽬「AOI瑕疵影像深度學習卷積神經網路分類模型之研究」
- 擔任台科大生產管理課程助教、英業達精實製造訓練課程助教、實驗室管理員
中原大學, 學士學位, 工業與系統工程,Sep 2012 ~ Jun 2017
- 英語話劇比賽總召、編劇、系上活動擔任副召
- 第13屆「生產計劃與管制」學科競賽優勝獎
實習工作經歷
台灣科技大學, 生產管理助教, Jul 2017 ~ Jun 2019
1.輔助教學生產管理相關課程(3D列印、精實生產模擬、FlixSim教學)
2.英業達(TAO)製造中心精實生產助教
連展科技股份有限公司, 生管實習生, Jul 2018 ~ Aug 2018
1.統計方法分析，找出影響製程真因
2.於天津和深圳廠進行DOE實驗，驗證理論最佳參數，生產良率提高2.28%
3.協助教育輔導廠區人員了解資料電子化、統計分析等觀念
4.進行利用人工智能(CNN)取代人力複檢的研究專案，預期節省成本80萬/年
5.建立公司生產成本模型試算表，以成本角度調整生產檢測方式
語言能力
TOEIC : 725
軟體應用與技能
專案與實習論文簡介
個人專題-水產養殖監控Line機器人
串聯現場感測器和雲端資料庫，使用者可使用Line對水場進行監控，功能如下:
(1) 水質監控情況 : 查看歷史資料
(2) 水質管制圖 : 監看數值是否在管制界 線內
(3) 投餌提醒與管理 : 固定時間推播訊 息，以機器學習演算法預測投餌量
團體專案-魚與餓的距離
利用Object Detect偵測魚的位置並分析其行為，同時考慮水質，以RNN及MLP對投餌時間進行決策。達到AI自動投餌，real time監控水質的全自動養魚環境系統。
產學實習-Real time即時監控預警
(1)熟悉製程細節，訪問作業員影響製程 相關經驗
(2) 利用相關係數、R square等統計方 法找出影響良率的重要因子
(3) 前往天津和深圳廠，透過DOE驗證 最佳參數組合，不良率降低2.28%
(4) 輔助指導現場人員資料數據化和分 析方法
碩士論文-AOI瑕疵影像深度學習卷積神經網路分類模型之研究
利用CNN輔助傳統AOI進行判別，對不良品進行分類，Object Detect圈選不良位置，達到節省人力成本目的。
Finn Fan-Chiang (Fan-Chiang, Hao)
Professional Skills : Data Analysis、Machine Learning、Industrial Management
Cellphone : 0921679125
Email : [email protected]
Education
Nation Taiwan University of Science and Technology
Master of Science in Industrial Management, 2017 ~ 2019
- Researched in smart factory with the techniques of industrial internet of things(iIoT).
- Thesis topic : A Convolutional Neural Network for AOI Defect Classification.
- Teaching assistant in both product management program at NTUST and training course at Inventec Corporation. Also, served as the main administrator, managing all administrative work in the laboratory
Chung Yuan Christian University
Bachelor of Science in Industrial and Systems Engineering, 2012 ~ 2017
- Worked as a leader and screenwriter in the English Drama Competition, and vice leader for the department activities.
- Earned the third place in the Independent study competition.
Professional Experience
Nation Taiwan University of Science and Technology
Teaching assistant in production management program, Jul 2017 ~ Jun 2019
1. Assisted in teaching techniques like 3D printing, simulation of lean production, Flexsim.
2. Provided instructions in the lean production training class for Inventec Corporation.
Advanced Connectek Inc. (ACON)
Intern at Production Management Department, Jul 2018 ~ Aug 2018
1. Found the factor which affected the manufacture by statistics analysis.
2. The production yield increased by 2.28% through DOE verification examined in Tianjin and Shenzhen factories.
3. Assisted to teach the staff the concept of data digitizing and statistics analysis.
4. Applied Convolutional Neural Network in inspection, expecting to lower the labor cost by $800,000 per year.
5. Established the production cost model, which adjust the inspection strategies using the Confusion matrix.
7-Eleven Inc. ,Clerk, Jun 2014 ~ Aug 2014
Familiar with the tasks of convenience store.
Software Technology
Machine Learning
Proficient with the AI algorithms applied to manufacture in practice.
Software：Python、C、Java
Industrial Management
Able to use statistics analysis for problem solving and propose improvements for simulation.
Software：Minitab、FlexSim、Excel
Language skills
TOEIC : 725
范姜皓 Finn
手機 : 0921679125
信箱 : [email protected]
擅長深度學習和機器學習，擁有實務AI專案經驗。 3 年以上使用 Python 處理資料經驗，熟悉網路爬蟲和 SQL。 生產管理背景，實習與畢業論文以 AI 與科技營運為主題，從事智慧工廠的相關研究， AIoT工廠生產實務經驗。
學歷
勞動部緯育Tibame AI工程師訓練班, Sep 2020 ~ Jan 2021
- 相關課程: Python, Tensorflow, Keras, MySQL, OpenCV, Flask, HTML5, WebCrawler, LineChatBot
- 專案題目「智慧漁業養殖」，使用Deep Learning做影像辨識，偵測水質及控制投餌量，LineChatBot呈現結果
- 組內負責硬體架設與維護、計畫流程規劃、資料收集與清洗、AI建模、開發整合等工作
國立台灣科技大學, 碩士學位, 工業管理, Sep 2017 ~ Jun 2019
- 研究領域iIOT : 智慧⼯廠
- 論⽂題⽬「AOI瑕疵影像深度學習卷積神經網路分類模型之研究」
- 擔任台科大生產管理課程助教、英業達精實製造訓練課程助教、實驗室管理員
中原大學, 學士學位, 工業與系統工程,Sep 2012 ~ Jun 2017
- 英語話劇比賽總召、編劇、系上活動擔任副召
- 第13屆「生產計劃與管制」學科競賽優勝獎
實習工作經歷
台灣科技大學, 生產管理助教, Jul 2017 ~ Jun 2019
1.輔助教學生產管理相關課程(3D列印、精實生產模擬、FlixSim教學)
2.英業達(TAO)製造中心精實生產助教
連展科技股份有限公司, 生管實習生, Jul 2018 ~ Aug 2018
1.統計方法分析，找出影響製程真因
2.於天津和深圳廠進行DOE實驗，驗證理論最佳參數，生產良率提高2.28%
3.協助教育輔導廠區人員了解資料電子化、統計分析等觀念
4.進行利用人工智能(CNN)取代人力複檢的研究專案，預期節省成本80萬/年
5.建立公司生產成本模型試算表，以成本角度調整生產檢測方式
語言能力
TOEIC : 725
軟體應用與技能
專案與實習論文簡介
個人專題-水產養殖監控Line機器人
串聯現場感測器和雲端資料庫，使用者可使用Line對水場進行監控，功能如下:
(1) 水質監控情況 : 查看歷史資料
(2) 水質管制圖 : 監看數值是否在管制界 線內
(3) 投餌提醒與管理 : 固定時間推播訊 息，以機器學習演算法預測投餌量
團體專案-魚與餓的距離
利用Object Detect偵測魚的位置並分析其行為，同時考慮水質，以RNN及MLP對投餌時間進行決策。達到AI自動投餌，real time監控水質的全自動養魚環境系統。
產學實習-Real time即時監控預警
(1)熟悉製程細節，訪問作業員影響製程 相關經驗
(2) 利用相關係數、R square等統計方 法找出影響良率的重要因子
(3) 前往天津和深圳廠，透過DOE驗證 最佳參數組合，不良率降低2.28%
(4) 輔助指導現場人員資料數據化和分 析方法
碩士論文-AOI瑕疵影像深度學習卷積神經網路分類模型之研究
利用CNN輔助傳統AOI進行判別，對不良品進行分類，Object Detect圈選不良位置，達到節省人力成本目的。
Finn Fan-Chiang (Fan-Chiang, Hao)
Professional Skills : Data Analysis、Machine Learning、Industrial Management
Cellphone : 0921679125
Email : [email protected]
Education
Nation Taiwan University of Science and Technology
Master of Science in Industrial Management, 2017 ~ 2019
- Researched in smart factory with the techniques of industrial internet of things(iIoT).
- Thesis topic : A Convolutional Neural Network for AOI Defect Classification.
- Teaching assistant in both product management program at NTUST and training course at Inventec Corporation. Also, served as the main administrator, managing all administrative work in the laboratory
Chung Yuan Christian University
Bachelor of Science in Industrial and Systems Engineering, 2012 ~ 2017
- Worked as a leader and screenwriter in the English Drama Competition, and vice leader for the department activities.
- Earned the third place in the Independent study competition.
Professional Experience
Nation Taiwan University of Science and Technology
Teaching assistant in production management program, Jul 2017 ~ Jun 2019
1. Assisted in teaching techniques like 3D printing, simulation of lean production, Flexsim.
2. Provided instructions in the lean production training class for Inventec Corporation.
Advanced Connectek Inc. (ACON)
Intern at Production Management Department, Jul 2018 ~ Aug 2018
1. Found the factor which affected the manufacture by statistics analysis.
2. The production yield increased by 2.28% through DOE verification examined in Tianjin and Shenzhen factories.
3. Assisted to teach the staff the concept of data digitizing and statistics analysis.
4. Applied Convolutional Neural Network in inspection, expecting to lower the labor cost by $800,000 per year.
5. Established the production cost model, which adjust the inspection strategies using the Confusion matrix.
7-Eleven Inc. ,Clerk, Jun 2014 ~ Aug 2014
Familiar with the tasks of convenience store.
Software Technology
Machine Learning
Proficient with the AI algorithms applied to manufacture in practice.
Software：Python、C、Java
Industrial Management
Able to use statistics analysis for problem solving and propose improvements for simulation.
Software：Minitab、FlexSim、Excel
Language skills
TOEIC : 725