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4-6 years
6-10 years
10-15 years
More than 15 years
Taipei City, Taiwan
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
practical applications. Skills Languages: Python, R, SQL, MATLAB, C, C#, JavaScript, Node.js Software & Tools: PyTorch, PyTorch Lightning, Tensorflow, Scikit-Learn, NLTK , GCP, Linux, SQL / NoSQ , Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow, Git, Docker, Jenkins, Line Bot , Azure Bot Service, Tableau ML & NLP Techniques: LMOps, RAG, Fine-tune LLMs, Text Generation, Multi-Document Summarization, Recommendation System, Text Classification, Named Entity Recognition, CoT Research and Work Experience Research Assistant OctPresent Institute of Information Science, Academia Sinica, Taiwan Natural Language and Knowledge Processing Lab (NLP Lab) National Taiwan University Hospital (NTUH): Focused on exploring
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
Past
後端工程師 @Canner （易開科技）2023 ~ 2024
・
Senior Backend Engineer
Within one month
產品數據中台，專注於新功能開發、問題排查，並致力於優化團隊的開發流程。參與公司開源專案 accio 的 DSL parser 開發，負責開發 ChatGPT 自然語言獲取數據的 Plugin。 #Node.js #Typescript #Data Modeling #GraphQL 後端工程師 愛酷智能科技 AccuHit AI technology company 九月三月 2023 Taipei, Taiwan 主導團隊升級 PHP
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
東海大學 Tunghai University
・
資訊工程
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣海洋大學 (NTOU)
・
導航與資訊科技
軟體工程師/品牌開發專員 @冠淳科技股份有限公司2022 ~ 2023
・
前端/後端/軟體/全端工程師
Within one month
司使用。 學歷 明新科技大學 學士學位 • 資訊工程 | 2011 ~ 2015 技能 程式語言 Python (Django) Perl JavaScript C、C# Java 資料庫 MariaDB MSSQL MySQL Sybase 版本控制 Git 開發工具 Vs code Postman Nginx Gunicorn 網站分析工具 Google Analytics Google Search Console 自然語言處理 Dialogflow ES 技能訓練 資訊工業策進會 Java跨平台程式設計就業養成班 • EEIT91 |~
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
明新科技大學
・
資訊工程
高級工程師 @電商2023 ~ Present
・
軟體工程師、影像處理工程師、AI處理工程師、演算法工程師
Within one month
系統架構 。 重構 TensorFlow Model Server AI 專案，實作 gRPC 協定減少通訊延遲 。 使用 PySpark 和 Apache Beam 處理深度學習的億級資料前處理 。 利用 Spring Boot 改進了 NLP 專案，增加模組化設計、新增單元測試，加入微服務同步機制 。 獨力建置 ELK Satck Cluster with Basic Security 基礎建設，使用 monitoring with metricbeat 和 beats 蒐集資料
Employed
・
Open to opportunities
Full-time / Interested in working remotely
More than 15 years
國立台灣科技大學
・
資訊與通訊Past
Senior Backend Engineer @iKala 愛卡拉互動媒體股份有限公司2023 ~ 2024
・
Data engineer / Backend engineer / Software engineer
Within one month
Unemployed
・
Open to opportunities
Full-time / Not interested in working remotely
6-10 years
國立成功大學
・
資訊工程
Product Manager @BitoGroup 幣託科技股份有限公司2023 ~ Present
・
Product Manager
Within one month
規劃功能畫面包含 On Boarding flow、Dashboard 5. 研究 Google authenticator 二階段認證，保證產品安全 AI Project Manager 美商訊能集思科技 2019/2月/2月 Taipei, Taiwan JarviX 自然語言分析平台導入，並陪同業務進行產品功能的展示與簡報的介紹，並後續的 POC 驗證及相關 SPEC 撰寫，從資料的收集到
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立臺北科技大學
・
互動設計所Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立中央大學
・
物理
Software Developer @ZeroLogix2022 ~ Present
・
前端工程師 Front-End Developer
Within one month
資訊管理學系，2018 年 8 月年 12 月 職位: 專任研究助理 畢業後繼續延伸論文的相關研究與協助碩班生論文的研究，開發結合自然語言與影像辦識問答系統。 使用技能: Python、Pytorch、OpenCV、NLP 學歷 國立中山大學資訊管理學系研究所，2017 年 6 月年 7 月 研究領域: 深
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立中山大學-資管系
・
資訊管理
AI 研發主任(function leader) @緯創資通股份有限公司2020 ~ Present
・
AI 演算法相關工作
Within one month
分析: 利用Shapley分析算法和客戶價值分析在Azure雲平台上進行數據分析。 對話機器人: 構建一個基於GPT服務的機器人，能夠進行自然語言對話。 LLaMA 1/2部署: 在Azure機器學習平台上部署LLaMA 1/2模型。 WebUI部署: 在Azure應用服務上發布一個物體檢測Web應用
Employed
Full-time / Not interested in working remotely
6-10 years
中原大學 Chung Yuan Christian University
・
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Definition of Reputation Credits
Technical Skills
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.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
Current status
Unemployed
Job Search Progress
Professions
Financial Engineer, Data Scientist, Machine Learning Engineer
Fields of Employment
Insurance, Investment Management
Work experience
2-4 years
Management
I've had experience in managing 1-5 people
Skills
Languages
Chinese
・
Native or Bilingual
Job search preferences
Positions
Job types
Full-time
Locations
台灣台北, 香港, 中國上海市上海
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
北京清華大學
Major
五道口金融學院
Wang Shao-An
AI Algorithm Engineer with 2+ Years in the Financial Industry
+886963513711
I am interested in applying software development and producing tools for business requirements in the financial sector. Includes building portfolio, asset allocation, multi-asset index with the quantitative method, and developing tools for processing financial data or analytics. I expect to use python development experience to create value for portfolio construction, process automation, database management
EXPERIENCE
AI Algorithm Engineer • Ping An of China Asset Management
Jul.2020 - Nov.2021
Financial Forecasting | Created an intelligent financial forecasting platform based on the valuation models and combined the machine learning model for financial indicator forecast |
Risk Contagion | Built Risk Contagion Model (GNN) between companies and improved the Bond Risk Warning Model |
Knowledge Graph | Maintain knowledge graph database for Risk Contagion Model |
Financial Fraud | Established a machine learning model (XGBoost) and predicted the severity of the company's financial report whitewashing |
Smart Search | Converted various financial report styles received by investment banks from clients into a specified standard financial report |
Finance Converters | Built the NLP model to disassemble the search semantics, and give different personalized responses to the user's search content, such as precision, sentences, landing pages, page cards, etc. |
Quantitative Strategy Engineer • Franklin Securities Investment Advisory Co., Ltd
Apr.2019 - Jun.2020
Asset Allocation Model | Developed Asset Allocation Model。We Chose Black Litterman Model with the view matrix built by the machine learning model(XGBoost、LSTM、SVM) |
Database Maintenance | Extracted data from Bloomberg API (blpapi) and Wind API (WindPy) and maintained MySQL database |
Forecasting Index | Established market index prediction model for view matrix (XGboost、LSTM、SVM) |
Robo-Advisor Monitors | Provided investors with automatic alarm and monitoring system, including five parts (1) major asset monitoring (2) portfolio monitoring (3) single fund monitoring (4) risk control rules monitoring (5) irregular position adjustment monitoring |
EDUCATION
Sep.2017 – Jan.2018
Tsinghua University‧PBC School of Finance, Beijing
Master of Finance‧Exchange Program
Sep.2015 – Jan.2018
National ChengChi University, Taiwan
Master of Economics
Sep.2011 – Jun.2015
National Dong Hwa University, Taiwan
Bachelor of Finance
SKILLS
Programming
Python
Numpy、Pandas
XGboost、Scikit-learn、statsmodels、Keras、Tensorflow、Pytorch
Sqlalchemy、Hive、py2neo、blpapi、WindPy、AWS S3、Aliyun OSS
Flask、FastAPI、Django
Git Version control、Linux Commands、Docker (deploy images/containers)
AI & Econometrics
Python
RNN、CNN、LSTM、XGBoost、Time series (GARCH set)、Logit regression、SVM、Decision Tree、Random Forest
Word Embedding、Word2Vec、Transformer、Informer
Financial database
Bloomberg、Wind、Datastream、Thomson Reuters、WRDS、Bankscope
Wang Shao-An
AI Algorithm Engineer with 2+ Years in the Financial Industry
+886963513711
I am interested in applying software development and producing tools for business requirements in the financial sector. Includes building portfolio, asset allocation, multi-asset index with the quantitative method, and developing tools for processing financial data or analytics. I expect to use python development experience to create value for portfolio construction, process automation, database management
EXPERIENCE
AI Algorithm Engineer • Ping An of China Asset Management
Jul.2020 - Nov.2021
Financial Forecasting | Created an intelligent financial forecasting platform based on the valuation models and combined the machine learning model for financial indicator forecast |
Risk Contagion | Built Risk Contagion Model (GNN) between companies and improved the Bond Risk Warning Model |
Knowledge Graph | Maintain knowledge graph database for Risk Contagion Model |
Financial Fraud | Established a machine learning model (XGBoost) and predicted the severity of the company's financial report whitewashing |
Smart Search | Converted various financial report styles received by investment banks from clients into a specified standard financial report |
Finance Converters | Built the NLP model to disassemble the search semantics, and give different personalized responses to the user's search content, such as precision, sentences, landing pages, page cards, etc. |
Quantitative Strategy Engineer • Franklin Securities Investment Advisory Co., Ltd
Apr.2019 - Jun.2020
Asset Allocation Model | Developed Asset Allocation Model。We Chose Black Litterman Model with the view matrix built by the machine learning model(XGBoost、LSTM、SVM) |
Database Maintenance | Extracted data from Bloomberg API (blpapi) and Wind API (WindPy) and maintained MySQL database |
Forecasting Index | Established market index prediction model for view matrix (XGboost、LSTM、SVM) |
Robo-Advisor Monitors | Provided investors with automatic alarm and monitoring system, including five parts (1) major asset monitoring (2) portfolio monitoring (3) single fund monitoring (4) risk control rules monitoring (5) irregular position adjustment monitoring |
EDUCATION
Sep.2017 – Jan.2018
Tsinghua University‧PBC School of Finance, Beijing
Master of Finance‧Exchange Program
Sep.2015 – Jan.2018
National ChengChi University, Taiwan
Master of Economics
Sep.2011 – Jun.2015
National Dong Hwa University, Taiwan
Bachelor of Finance
SKILLS
Programming
Python
Numpy、Pandas
XGboost、Scikit-learn、statsmodels、Keras、Tensorflow、Pytorch
Sqlalchemy、Hive、py2neo、blpapi、WindPy、AWS S3、Aliyun OSS
Flask、FastAPI、Django
Git Version control、Linux Commands、Docker (deploy images/containers)
AI & Econometrics
Python
RNN、CNN、LSTM、XGBoost、Time series (GARCH set)、Logit regression、SVM、Decision Tree、Random Forest
Word Embedding、Word2Vec、Transformer、Informer
Financial database
Bloomberg、Wind、Datastream、Thomson Reuters、WRDS、Bankscope