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4-6 years
6-10 years
10-15 years
More than 15 years
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
Within one month
reducing parameter training volume to 2% , decreasing memory usage by 70%, and increasing training speed by 25%. Architecture Optimization: Used Direct Preference Optimization (DPO) to optimize Reinforcement Learning, improving model efficiency and decision quality. [ G itHub ] Graduate Research Assistant OctOct 2023 Institute of Information Science, Academia Sinica, Taiwan Natural Language and Knowledge Processing Lab (NLP Lab) Publication: Published in ACM CIKMSequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models . [ Paper | GitHub ] Performance has improved by 18.8% compared to traditional methods in the past and surpassed SOTA LLMs by 39.6
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
資訊科學系
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ Present
・
Software Engineer
Within one month
Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
生物產業機電工程所
Past
Senior Product Growth Manager @SOSV2018 ~ 2023
・
Product Manager / Product Growth
Within one month
and honed my skills in dynamic tech stacks. As a seasoned product manager, I've successfully navigated the intersection of user needs and technical innovation, steering product strategies for optimal growth. From leading software teams at IBM to co-founding a startup that delved into machine learning and natural language processing, I bring a unique blend of technical prowess, product expertise, and entrepreneurial flair. My expertise in growth hacking working with early stage startups around the world involves leveraging lean startup methodologies and data-driven decision-making to drive business success. I'm excited to bring
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
Quantic School of Business and Technology
Data science lecturer @Ittraining2020 ~ Present
・
Data Scientist 資料科學家_數據分析師
Within one month
HUEY-LONG CHEN 陳惠龍 Kaggle Competitions Expert: https://www.kaggle.com/alanchen1115 Competitions: NLP (自然語言處理): - Silver medal (solo): (Kaggle) The Learning Agency Lab - PII Data Detection: Develop automated techniques to detect and remove PII from educational data. 2024/04/24 - Silver medal (solo): (Kaggle) U.S. Patent Phrase to Phrase Matching: Help Identify Similar Phrases in U.S. Patents, 2022/06/21 Recommendation system (推薦系統): - Silver medal (solo): (Kaggle) OTTO – Multi-Objective Recommender System: Build a
Employed
・
Open to opportunities
Part-time / Interested in working remotely
More than 15 years
Purdue University
・
School of civil engineering (Stochastic & statistical hydrology)
商業分析師 @凱基商業銀行股份有限公司2021 ~ Present
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
數位內容Past
iOS Engoneer @VoiceTube 紅點子科技股份有限公司2020 ~ 2023
・
iOS Developer
Within three months
Unemployed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立臺北大學 National Taipei University
・
資工所
Data Engineer @MediaTek Inc.2019 ~ Present
・
Senior Software Engineer
Within one month
with problem solving, I have strong determination to succeed and hope to make a contribution to every opportunity. Data Engineer Hsinchu, TW [email protected] Skills Big Data Engineering Rich knowledge in NoSQL , skilled in RESTful search API and distributed analytics engine ElasticSearch . Experienced in multilingual Natural Language Processing , working on reliable data pre-processing and data cleaning. Deep Learning Leading team members to do research and build Machine Learning models, further designing prototypes on application system. Utilizing Deep Learning methods (CNN/RNN) to process heterogeneous documents and develop systems for market analysis
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National Tsing Hua University
・
Data Mining, Database System
Engineering Manager @Viscovery 創意引晴股份有限公司2018 ~ Present
・
Within one month
including Recurrent Neural Network (RNN), word2vec, paragraph vector. Working Experience Intern, JulDec 2014 Phalanx Biotech Develop machine learning solutions for cancer gene detection and TSMC semiconductor quality prediction. Intern, JulAug 2013 Solid State System Assisted in CMOS MEMs microphone product development including proto-type simulation, fabrication/packaging process, defect analysis and market survey. Achievements 1. Qualified of preliminary contest of TSMC Big Data Analytics for Semiconductor Manufacturing. Taiwan,Completion of Broad-DREAM Gene Essentiality Prediction Challenge, 2014 Professional Skills Research Field Machine Learning Deep Learning Computer Vision Natural Language Processing Lang...
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
Electrical EngineeringEmployed
・
Not open to opportunities
Full-time / Interested in working remotely
10-15 years
National Taiwan University
・
Computer Science and Information Engineering
Data Engineer @FarEasTone Telecom 2021 ~ Present
・
Data engineer
Within one month
WangPengKang 王鵬綱 Currently, I am a Senior Data Engineer at Far EasTone Telecom, focusing on data warehousing, data transformation, CICD , automation, web scraping, data science, and providing data platform services and insights. Taipei, Taiwan Skill Data&ETL : DataBricks ,Trinity ,Airflow, Prefect, Spark(pyspark), RabitMQ CICD : Docker, Jenkins, Git Database : Teradata, MySQL, Oracle ,PostgreSQL Programming languages : Python, SQL Machine Learning : Classification, Clustering, Regression, Natural Language Processing, Fraud Detection, Recommender System, Social Network Mining Visualization : Tableau, Metabase, Python(Matplotlib, Seaborn, plotly, DASH), Data Studio Crawler : python(BeautifulSoup, Selenium, Scrapy, Mitmproxy) Others VSCode , Notion, Hackmd Work Expertise and Experience 工
Employed
Full-time / Interested in working remotely
6-10 years
National Chung Cheng University
・
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Definition of Reputation Credits
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Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
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Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
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Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
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Studying
Job Search Progress
Professions
Machine Learning Engineer, C,C++ Developer, .NET Developer
Fields of Employment
Investment Management, Artificial Intelligence / Machine Learning, Software
Work experience
2-4 years work experience (1-2 years relevant)
Management
None
Skills
Languages
English
・
Fluent
Job search preferences
Positions
Job types
Intern
Locations
Remote
Interested in working remotely
Freelance
Educations
School
國立台灣科技大學
Major
資訊管理
黃仕勳 Ryan Huang [email protected]
臺灣科技大學主修資工輔系財金畢業，現為臺科大資管所研究生。目前於永豐金控負責AI專案，接觸強化學習與AI於真實業務場景應用。過去一年半在野村投信擔任 IT Intern，完整經歷三個專案累積功能開發、跨部門合作與領導合作等軟硬實力 ; 在校同時有多項產學與專案經驗。期許結合在校所學與實習累積的實務與跨域經驗，成為學以致用的專業人才。
學歷
Sep. 2021 - Now
國立臺灣科技大學
資訊管理所 計算與資料探勘實驗室
Sep. 2017 - June 2021
國立臺灣科技大學
主修：資訊工程系 資料探勘與社群網路分析實驗室
輔系：財務金融學士學位學程
工作經歷
數位科技處 AI 人工智慧組實習生 • 永豐金控
July. 2022 - Now
- 負責利用強化學習於分行智慧調度專案
超過 80% 的分行，模型表現優於人類調度
實驗不同模型架構，提升模型勝率 10%
- 利用強化學習於 AI Trading 專案，最大化報酬並且控制風險
接觸 Stable baseline3, Airflow
電腦資訊部實習生 • 野村投信
Jan. 2021 - June 2022
- 完整經歷與負責三個專案從規劃至開發再到測試與部署和AI專案維護
全委代操功能移轉 : 移轉資料與功能至自建平台，節省成本、增加開發彈性並優化使用者介面
業務移轉功能: 將日常作業功能化，每年減少 50 MD 並增加覆核機制提升安全
培訓時數紀錄: 將時數統計功能化並正確匯出報表提報公會，減少 92.5% 作業時間
- 主導與協作兩位新實習生完成專案
- 參與跨部門合作累積跨域溝通經驗
接觸 C#, ASP.NET, Winform, MS-SQL, LINQ, CICD(Azure)
Python 全方位期貨課程講師 • MasterTalks
Nov. 2021 - Now
- 教授從 python 基礎、爬蟲、回測、Line提醒到AI應用於期貨市場
- 課程銷售額突破百萬且銷售進度一年內突破 1300%
- 負責 python 基礎教學、Backtrader 框架策略回測、AI 應用課程
活動企劃實習生＆校園大使 • IOH (秘密公開有限公司)
July 2019 - Aug. 2020
- 網站內容(講座)產出，精準提問使講座內容深化與科普
- 舉辦 9 場工作坊，一對一協作 12 位來自各校各領域講者(含一位外籍講者)
- 擔任校園大使赴高中職演講，分享講師經驗並推廣 IOH
- 演講 10 所 學校，累計觸及 2000 人以上
- 資訊統整與科普產出四支(資訊、數理化、遊憩與運動、藝術)學群介紹影片
社團經歷
隊長 • 臺科大法式滾球校隊
Apr. 2020 - Apr. 2021
球技與領導能力的磨練與身兼數職的挑戰
- 組織團隊，擔任團隊中的溝通橋樑
- 球隊財務管理、社群網路管理
- 四年大專盃累計奪得2冠、2亞、1季
美宣長＆團員 • 臺科大國際親善大使團
Apr. 2018 - June 2021
專業儀態與自信的成長，培養表達與跨域合作的能力
- 擔任第 14 屆美宣長，經營社團獲得社團評鑑第三名
- 擔任校內外禮賓人員，引導接待各級長官貴賓
- 擔任社課講師培養學弟妹們成為專業親善大使
專案經歷
自動化商品推薦演算法 • 產學合作
Sep. 2021 - Oct. 2021
- 實現決策樹, 商品關聯分析, 協同過濾演算法生成推薦模型
- 客製化資料前處理客戶、商品及交易資料
- 使用 scikit-learn 自動化生成決策樹
惡意文字訊息攔截與異常帳號分析 • 遊戲公司產學合作
July 2020 - June 2021
- 透過 XLNET, TextCNN 訓練分類模型，準確率達 93%
- 利用 Hash function, K-Means, Levenshtein Distance 分群找出異常帳號
- 藉由 TF-IDF 判斷重要字詞並以文字雲呈現
- 建立拼音、黑白名單機制優化不當訊息過濾表現
關聯性分析實現 Netflix 影集推薦 • 社群網路分析實務 期末報告
Apr. 2020 - June 2020
- 以社群網路分析方式(建關聯圖) 解讀 Netflix 影集資料並依關聯性推薦相似影集給使用者
- 透過 TF/IDF 評估「詞」對於「影評敘述」的重要程度後計算描述相似度
- 利用連結預測演算法 Adamic Adar algorithm 進行關聯分析
企業預警模型
Dec. 2020 - Jan. 20201
- 分析財報資訊並研究與違約之關聯性
- 資料前處理並計算數據指標
- 建立 ML model 預測該公司是否違約
LinkedIn 商業表現與推薦功能技術分析 • 人工智慧和資料的商業價值 期末報告
Apr. 2021 - June 2021
- LinkedIn 推薦技術與演算法分析
- Feed: 利用ML學習頁面停留時間Threshold，判斷使用者是否喜歡內容並客製化調整推薦結果
- Recruiter x Applicant: 透過多個 model 與不斷重新訓練預測求職者正面回覆機率，提升招募合適人員準確率
- 分析微軟財報及 LinkedIn 盈利模式與競爭優劣勢
技能
擅長領域
- 資料探勘
- 強化學習
- 自然語言處理
- 社群網路分析
- 量化交易
- 推薦系統
- 專案管理
技術
- AI Framework
- scikit-learn
- Pytorch
- Reinforcement Learning
- Stable baselines3
- FinRL
- 軟體開發
- ASP.NET
- LINQ
- DevOps
- CICD (Azure)
- 版本控制
- Git
程式語言
- C : 精熟
C++ : 精熟
C# : 精熟
Python: 精熟
SQL: 精熟
語言
- English (TOEIC: 680)
黃仕勳 Ryan Huang [email protected]
臺灣科技大學主修資工輔系財金畢業，現為臺科大資管所研究生。目前於永豐金控負責AI專案，接觸強化學習與AI於真實業務場景應用。過去一年半在野村投信擔任 IT Intern，完整經歷三個專案累積功能開發、跨部門合作與領導合作等軟硬實力 ; 在校同時有多項產學與專案經驗。期許結合在校所學與實習累積的實務與跨域經驗，成為學以致用的專業人才。
學歷
Sep. 2021 - Now
國立臺灣科技大學
資訊管理所 計算與資料探勘實驗室
Sep. 2017 - June 2021
國立臺灣科技大學
主修：資訊工程系 資料探勘與社群網路分析實驗室
輔系：財務金融學士學位學程
工作經歷
數位科技處 AI 人工智慧組實習生 • 永豐金控
July. 2022 - Now
- 負責利用強化學習於分行智慧調度專案
超過 80% 的分行，模型表現優於人類調度
實驗不同模型架構，提升模型勝率 10%
- 利用強化學習於 AI Trading 專案，最大化報酬並且控制風險
接觸 Stable baseline3, Airflow
電腦資訊部實習生 • 野村投信
Jan. 2021 - June 2022
- 完整經歷與負責三個專案從規劃至開發再到測試與部署和AI專案維護
全委代操功能移轉 : 移轉資料與功能至自建平台，節省成本、增加開發彈性並優化使用者介面
業務移轉功能: 將日常作業功能化，每年減少 50 MD 並增加覆核機制提升安全
培訓時數紀錄: 將時數統計功能化並正確匯出報表提報公會，減少 92.5% 作業時間
- 主導與協作兩位新實習生完成專案
- 參與跨部門合作累積跨域溝通經驗
接觸 C#, ASP.NET, Winform, MS-SQL, LINQ, CICD(Azure)
Python 全方位期貨課程講師 • MasterTalks
Nov. 2021 - Now
- 教授從 python 基礎、爬蟲、回測、Line提醒到AI應用於期貨市場
- 課程銷售額突破百萬且銷售進度一年內突破 1300%
- 負責 python 基礎教學、Backtrader 框架策略回測、AI 應用課程
活動企劃實習生＆校園大使 • IOH (秘密公開有限公司)
July 2019 - Aug. 2020
- 網站內容(講座)產出，精準提問使講座內容深化與科普
- 舉辦 9 場工作坊，一對一協作 12 位來自各校各領域講者(含一位外籍講者)
- 擔任校園大使赴高中職演講，分享講師經驗並推廣 IOH
- 演講 10 所 學校，累計觸及 2000 人以上
- 資訊統整與科普產出四支(資訊、數理化、遊憩與運動、藝術)學群介紹影片
社團經歷
隊長 • 臺科大法式滾球校隊
Apr. 2020 - Apr. 2021
球技與領導能力的磨練與身兼數職的挑戰
- 組織團隊，擔任團隊中的溝通橋樑
- 球隊財務管理、社群網路管理
- 四年大專盃累計奪得2冠、2亞、1季
美宣長＆團員 • 臺科大國際親善大使團
Apr. 2018 - June 2021
專業儀態與自信的成長，培養表達與跨域合作的能力
- 擔任第 14 屆美宣長，經營社團獲得社團評鑑第三名
- 擔任校內外禮賓人員，引導接待各級長官貴賓
- 擔任社課講師培養學弟妹們成為專業親善大使
專案經歷
自動化商品推薦演算法 • 產學合作
Sep. 2021 - Oct. 2021
- 實現決策樹, 商品關聯分析, 協同過濾演算法生成推薦模型
- 客製化資料前處理客戶、商品及交易資料
- 使用 scikit-learn 自動化生成決策樹
惡意文字訊息攔截與異常帳號分析 • 遊戲公司產學合作
July 2020 - June 2021
- 透過 XLNET, TextCNN 訓練分類模型，準確率達 93%
- 利用 Hash function, K-Means, Levenshtein Distance 分群找出異常帳號
- 藉由 TF-IDF 判斷重要字詞並以文字雲呈現
- 建立拼音、黑白名單機制優化不當訊息過濾表現
關聯性分析實現 Netflix 影集推薦 • 社群網路分析實務 期末報告
Apr. 2020 - June 2020
- 以社群網路分析方式(建關聯圖) 解讀 Netflix 影集資料並依關聯性推薦相似影集給使用者
- 透過 TF/IDF 評估「詞」對於「影評敘述」的重要程度後計算描述相似度
- 利用連結預測演算法 Adamic Adar algorithm 進行關聯分析
企業預警模型
Dec. 2020 - Jan. 20201
- 分析財報資訊並研究與違約之關聯性
- 資料前處理並計算數據指標
- 建立 ML model 預測該公司是否違約
LinkedIn 商業表現與推薦功能技術分析 • 人工智慧和資料的商業價值 期末報告
Apr. 2021 - June 2021
- LinkedIn 推薦技術與演算法分析
- Feed: 利用ML學習頁面停留時間Threshold，判斷使用者是否喜歡內容並客製化調整推薦結果
- Recruiter x Applicant: 透過多個 model 與不斷重新訓練預測求職者正面回覆機率，提升招募合適人員準確率
- 分析微軟財報及 LinkedIn 盈利模式與競爭優劣勢
技能
擅長領域
- 資料探勘
- 強化學習
- 自然語言處理
- 社群網路分析
- 量化交易
- 推薦系統
- 專案管理
技術
- AI Framework
- scikit-learn
- Pytorch
- Reinforcement Learning
- Stable baselines3
- FinRL
- 軟體開發
- ASP.NET
- LINQ
- DevOps
- CICD (Azure)
- 版本控制
- Git
程式語言
- C : 精熟
C++ : 精熟
C# : 精熟
Python: 精熟
SQL: 精熟
語言
- English (TOEIC: 680)