CakeResume 找人才

進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Avatar of Emily Ledoux.
Avatar of Emily Ledoux.
Principal @Cascade Data Labs
2016 ~ 2022
Director Data
兩個月內
Emily Ledoux Delivery Principal Seasoned Delivery Principal in the Data Practice. Focused on designing robust, scalable data ecosystems in the cloud to feed insights and data visualizations. Well-rounded consultant with experience spanning sales, recruiting, and delivery. Proven Delivery & Client Lead. Portland, OR, USA https://www.linkedin.com/in/emily-ledoux/ Work Experience JanuaryPresent Principal Data Architect Kin + Carta Delivery or Client Lead for over 25 resources, including direct reports, delivery oversight, hours tracking, QBRs, onboarding management, budget ownership and related responsibilities. Cloud Architect, designing Azure and
PowerPoint
Word
Excel
就職中
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
University of Pennsylvania
Economics
Avatar of Sean Lee.
Avatar of Sean Lee.
Senior Analyst, Software Engineer @Synpulse Taiwan Ltd. | 星普思管理諮詢有限公司
2022 ~ 現在
Software Developer
一個月內
李仕航 Sean Lee About me • Capable in multiple programming languages, such as Python, Java, C#, etc. •With mature database management skills, including SQL and NoSQL DB • Experience with development tools, like Visual studio, Azure, Git, Gira •With knowledge of web development, including HTML, CSS, ASP.NET, Javascript, React.js • With AI related knowledge, including NLP, machine learning and data manipulation •Be able to pick up new skills and stay updated of emerging technologies Taipei, Taiwan Contact Email: [email protected] Mobile:LinkedIn: https://www.linkedin.com/in
JavaScript
ASP.NET MVC
HTML5
就職中
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
Queensland University of Technology(昆士蘭科技大學)
Computer Science
Avatar of the user.
Avatar of the user.
Customer Engineer @iKala 愛卡拉互動媒體股份有限公司
2022 ~ 現在
兩個月內
nlp machine learning
+python
AI & Machine Learning
就職中
全職
4 到 6 年
國立中央大學
認知與神經科學所
Avatar of the user.
Avatar of the user.
Senior Backend Developer @KryptoGO., Ltd.
2019 ~ 2020
Senior Backend Engineer
三個月內
Golang
Git
Docker
就職中
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
6 到 10 年
National TSING HUA University
Institute of Communications Engineering
Avatar of 宋浩茹 Ellie Sung.
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
一個月內
宋浩茹 Hao-Ru Sung| [email protected] | LinkedIn | GitHub A s a Research Assistant at Academia Sinica , specializing in Generative AI research and application. With 3 + years of experience in NLP a nd Machine Learning , along with 4+ years in Backend Development . Proficient at translating complex theories into 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
Python
R
Natural Language Processing (NLP)
就職中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立政治大學(National Chengchi University)
資訊科學系
Avatar of the user.
Avatar of the user.
Founder @MyDearTeacher
2014 ~ 2022
Data, backend or project management
半年內
Python
Machine Learning
Deep Learning
就職中
全職 / 對遠端工作有興趣
6 到 10 年
University of Colorado Boulder
Data Science
Avatar of Hafiza Anam Masood.
Avatar of Hafiza Anam Masood.
Sessional Assistant @Victoria University of Wellington
2022 ~ 2023
Researcher, Lecturer
半年內
Hafiza Anam Masood I am a highly ambitious and self-driven individual skilled in Advanced Quantitative Research and Applied Methodology, currently immersed in a cutting-edge research project utilizing machine learning and NLP. Certified in Python for Financial Programming and Data Science Tools, complemented by practical insights from an Ethical Finance internship. Completed the Cambridge Islamic Finance Structuring Master, showcasing a global perspective. Proven proficiency in diverse Python projects, eager to contribute to impactful educational endeavors. https://www.linkedin.com/in/hafiza-anam-masood-ba7b09121 , Email: drhafizaanam@gmail.
Microsoft Office
Python
Quantitative Research
就學中
全職 / 對遠端工作有興趣
6 到 10 年
University of Management and Technology - UMT
Avatar of Ryan Chen.
Avatar of Ryan Chen.
Software Engineer @CakeResume
2022 ~ 現在
Software Engineer
一個月內
analytics tools and event tracking systems. Spearheaded the integration of Strapi (a content management system), enhancing the team's ability to quickly produce pages and distribute content . Pioneered the integration of LLM model API services. Research Assistant, Academia Sinica 11//2020 Conducted research in deep learning-based Natural Language Processing (NLP), exploring innovative approaches in machine learning. Experimented with various training methods and models, including multi-task learning and language models such as BERT. Authored a publication titled "Detecting Deceptive Language in Crime Interrogation". Investigated Memory Networks and applied them to develop
React
TypeScript
JavaScript
職場能力評價1
就職中
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
10 到 15 年
National Taiwan University
Computer Science and Information Engineering
Avatar of 江易倫.
Avatar of 江易倫.
曾任
Career transition @Career Break
2024 ~ 2024
NLP Engineer / Data Scientist / Machine Learning Engineer
一個月內
江易倫 Data Scientist | Python | SQL | NLP | GenAI 具備5年以上程式撰寫能力,擅長Python、SQL與Linux 擅長資料清洗、分析與分類貼標 具有自然語言處理與研究經驗 大型語言模型LLM及生成式AI訓練與使用經驗 RAG技術使用與知識庫建立經驗 過往研究專案 中華電信智能標籤案
Python
SQL
NLP
待業中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
National Chengchi University
資訊科學系
Avatar of 李昀庭.
Avatar of 李昀庭.
AI Engineer @Playsee
2022 ~ 現在
資料分析師、資料科學家、產品經理
一個月內
李昀庭 Data scientist Taiwan 技能 Machine learning and Engineering skills: Python, Big Query, Google Storage, Linux, Docker, GCP, AWS, Scikit-learn, Tensorflow, Pytorch, MLOps, FastAPI, Machine Learning, Deep Learning, Computer Vision, NLP Experimental design, Project management, Product design English - TOEIC 725 工作經歷 AI工程師 Playsee NovPresent Taipei, Taiwan 自動化標註推薦系統 設計並實踐架構取代25個標註者並及時標記和篩選視頻審核內容。 設計並優化影片
Python
Project Management
Strategic Thinking
就職中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
National Cheng Kung University
心理所(認知科學所)

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
如果結果不夠多,再逐一刪除較不重要的關鍵字
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
免費方案僅能搜尋公開履歷。
升級至進階方案,即可瀏覽所有搜尋結果(包含數萬筆覽僅在 CakeResume 平台上公開的履歷)。

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。
超過一年
Second-Year Graduate Student at EECS, NTU
Logo of Helios.
Helios
2021 ~ 現在
Taipei, 台灣
專業背景
目前狀態
就學中
求職階段
目前沒有興趣尋找新的機會
專業
數據工程師
產業
軟體
工作年資
小於 1 年
管理經歷
我有管理 1~5 人的經驗
技能
C
C++
Python
SQL/MySQL
Flask
PyTorch
語言能力
English
專業
求職偏好
希望獲得的職位
預期工作模式
全職
期望的工作地點
Taipei, 台灣, 台灣新竹市新竹, 台灣
遠端工作意願
對遠端工作有興趣
接案服務
學歷
學校
國立台灣大學
主修科系
Electrical Engineering and Computer Science
列印
Kcvazvgddltx5bwsmc3z

黃靖中 (Ching-Chung, Huang)

Dear interviewers and recruiters,

If you are looking for someone who (1) is capable of analyzing real-world problem quantitatively, (2) can design neural network models based on problem features, rather than calling PyTorch API blindly, and (3) having solid mathematical background and computer science training, then I humbly suggest myself. I have always challenged myself to think out side the box, to truly understand a concept, rather than just knowing it. My thinking follows the "GPA" way: Geometrically, Physically, and Algebraically. With all respect, I believe I am able to add credible values to your company, and push our industry to the next level.

Second Year Graduate Student at the Electrical Engineering and Computer Science Department in the National Taiwan University
Taipei, Taiwan
[email protected]

Work Experience

Computer Programming (C/C++) at NTU, Teaching Assistant, Sep 2021 ~ Now

This was my second year being a teaching assistant for the freshmen of the EECS department in NTU. Different from the last time, I was in charge of leading a group of four TAs. I organized and prioritized tasks for them, and ran our teaching program systematically. I also participated in the problem designing part like the last time.

Helios, Optimization Engineer, Jun 2021 ~ Now

I am in an optimization team. Currently, our goal is to automate the design process of antennas and integrated circuits. Particularly, I deployed evolutionary algorithms like covariance matrix adaptation evolution strategy (CMA-ES) and simple genetic algorithms (GA) to help optimization. Besides optimization, I sometimes visualize data and write the front-end for our company website.

國科會科技部計畫, 國科會科技部核心計畫:少量資料下的機器學習, Jan 2021 ~ Now

This is a project held by the Ministry of Science and Technology in Taiwan. I was a member of a five-people team (including the professor). We tackled training a neural network when there are only a limited amount of data. We integrated supervised learning, self-supervised learning, batch pseudo-labeling, Mixup, and Smart Augmentation in our system. In addition, we focused on industrial datasets, e.g., wafer datasets, electrocardiography, etc. We successfully derived a pleasing prediction accuracy using our framework.

Computer Programming (C/C++) at NTU, Teaching Assistant, Sep 2020 ~ Jan 2021

This was my first year being a teaching assistant for the freshmen of the EECS department in NTU. I was responsible for designing challenging programming problems for both homework and exams. Besides, I held QA sessions weekly to help students gain a more solid understanding of C/C++ programming. As the saying goes, teaching is the best way to learn. I learned a lot from students while I tried to explain abstract concepts to them.

Lingtelli 語智網科技, NLP Engineer, Feb 2018 ~ Dec 2018

I was responsible for the training of word vectors for a medical NLP engine. Since we are a small company, I had an end-to-end experience in NLP. To be precise, I scraped data from both Wikipedia and some medical websites (Mandarin corpus) using Python, preprocessed the data (including noise filtering, sentence segmentation, etc), and trained a neural network for a good representation of these words. Finally, these word vectors are used for downstream tasks like medical chat-bot, and intelligent medical QA systems.

美國遊樂園Worlds of Fun a Cedar Fair Park, Ride Operator, Jun 2016 ~ Sep 2016

I worked and traveled in Kansas city in the US for around three months when I was in my third year of college. I worked as a ride operator in the Worlds of Fun amusement park. I was mainly in charge of operating roller coasters, greeting the tourists, and making sure that everyone had the best day of their life. At the same time, this experience broadened my international horizon and polished my English oral speaking skill.

Education

國立台灣大學, 碩士學位, Electrical Engineering and Computer Science, 2020 ~ 2022

I am currently in my second year as a graduate student in the Taiwan Evolutional Intelligence Laboratory. My research focuses on optimizing the DMSGA-II algorithm, which is the state-of-the-art black-box optimization algorithm for combinatory optimization. Besides, I have taken courses in computer visions, database systems, machine learning. All these courses make me a qualified me as a well-trained data science engineer.

國立台灣大學, 學士學位, Mathematics, 2013 ~ 2017

Four years of mathematical training make me good at mathematical reasoning, deduction, reading proofs, and abstract thinking. My personal interest is in probability theory and statistics. Currently, I teaching myself mathematical finance and stochastic process.

台北市立建國高級中學, 高中文憑, 2010 ~ 2013

Projects

Frame Interpolation

This was a competition held by MediaTek. We are asked to interpolate between two frames to increase the FPS of a video. Key concepts include optical flow detection and forward/backward warping. We successfully increased our FPS by two and eight times. 


Deep Learning on Limited Data

This is the project mentioned in the above working experience. I am responsible for model designing, training, and system building, that is, code implementation. While doing the project, I deployed several advanced deep learning models, e.g., Wide ResNet. This was a valuable experience, not only because of limited data is a fundamental problem in machine learning, but also the integration of different machine learning techniques like self-supervised learning and pseudo-labeling. 


Database Normalization Automation

We proposed a graphical model on the functional dependencies of a relational database, called Functional Dependency Graph (FDG). Using FDG, we are capable of finding keys and superkeys of the database based only on the initial dependencies between attributes. In addition, FDG can tell us which normal form our relational database is in. Moreover, FDG can normalize a relational database automatically into the first, second, third, and Boyce–Codd normal form. 

Legal-Tech Hackathon

This Hackathon was the intersection of the law industry and the tech industry. We designed and implemented a system to predict whether a contract written by the employer follows the Fair Trade Act or not. We use the Sentence Bert model as our NLP model, and collected tons of data from related court's Judgment. We earned a special price from this competition. 


My Research


My research focuses on optimizing the DSMGAII (arXiv:1807.11669) proposed by our lab in 2015. Currently, I am analyzing and optimizing the Restricted Mixing (RM) operator of DSMGAII. RM is the exploration power of DSMGAII, together with the Back Mixing (BM) operator, they are able to solve nearly decomposable combinatorial optimization problems.

Skill


Basic Programming

  • C
  • C++
  • Python
  • JavaScript


Machine Learning

  • PyTorch
  • Deep Learning
  • Genetic Algorithms
  • Evolutionary Algorithms

Others

  • SQL
  • Flask
  • React

履歷
個人檔案
Kcvazvgddltx5bwsmc3z

黃靖中 (Ching-Chung, Huang)

Dear interviewers and recruiters,

If you are looking for someone who (1) is capable of analyzing real-world problem quantitatively, (2) can design neural network models based on problem features, rather than calling PyTorch API blindly, and (3) having solid mathematical background and computer science training, then I humbly suggest myself. I have always challenged myself to think out side the box, to truly understand a concept, rather than just knowing it. My thinking follows the "GPA" way: Geometrically, Physically, and Algebraically. With all respect, I believe I am able to add credible values to your company, and push our industry to the next level.

Second Year Graduate Student at the Electrical Engineering and Computer Science Department in the National Taiwan University
Taipei, Taiwan
[email protected]

Work Experience

Computer Programming (C/C++) at NTU, Teaching Assistant, Sep 2021 ~ Now

This was my second year being a teaching assistant for the freshmen of the EECS department in NTU. Different from the last time, I was in charge of leading a group of four TAs. I organized and prioritized tasks for them, and ran our teaching program systematically. I also participated in the problem designing part like the last time.

Helios, Optimization Engineer, Jun 2021 ~ Now

I am in an optimization team. Currently, our goal is to automate the design process of antennas and integrated circuits. Particularly, I deployed evolutionary algorithms like covariance matrix adaptation evolution strategy (CMA-ES) and simple genetic algorithms (GA) to help optimization. Besides optimization, I sometimes visualize data and write the front-end for our company website.

國科會科技部計畫, 國科會科技部核心計畫:少量資料下的機器學習, Jan 2021 ~ Now

This is a project held by the Ministry of Science and Technology in Taiwan. I was a member of a five-people team (including the professor). We tackled training a neural network when there are only a limited amount of data. We integrated supervised learning, self-supervised learning, batch pseudo-labeling, Mixup, and Smart Augmentation in our system. In addition, we focused on industrial datasets, e.g., wafer datasets, electrocardiography, etc. We successfully derived a pleasing prediction accuracy using our framework.

Computer Programming (C/C++) at NTU, Teaching Assistant, Sep 2020 ~ Jan 2021

This was my first year being a teaching assistant for the freshmen of the EECS department in NTU. I was responsible for designing challenging programming problems for both homework and exams. Besides, I held QA sessions weekly to help students gain a more solid understanding of C/C++ programming. As the saying goes, teaching is the best way to learn. I learned a lot from students while I tried to explain abstract concepts to them.

Lingtelli 語智網科技, NLP Engineer, Feb 2018 ~ Dec 2018

I was responsible for the training of word vectors for a medical NLP engine. Since we are a small company, I had an end-to-end experience in NLP. To be precise, I scraped data from both Wikipedia and some medical websites (Mandarin corpus) using Python, preprocessed the data (including noise filtering, sentence segmentation, etc), and trained a neural network for a good representation of these words. Finally, these word vectors are used for downstream tasks like medical chat-bot, and intelligent medical QA systems.

美國遊樂園Worlds of Fun a Cedar Fair Park, Ride Operator, Jun 2016 ~ Sep 2016

I worked and traveled in Kansas city in the US for around three months when I was in my third year of college. I worked as a ride operator in the Worlds of Fun amusement park. I was mainly in charge of operating roller coasters, greeting the tourists, and making sure that everyone had the best day of their life. At the same time, this experience broadened my international horizon and polished my English oral speaking skill.

Education

國立台灣大學, 碩士學位, Electrical Engineering and Computer Science, 2020 ~ 2022

I am currently in my second year as a graduate student in the Taiwan Evolutional Intelligence Laboratory. My research focuses on optimizing the DMSGA-II algorithm, which is the state-of-the-art black-box optimization algorithm for combinatory optimization. Besides, I have taken courses in computer visions, database systems, machine learning. All these courses make me a qualified me as a well-trained data science engineer.

國立台灣大學, 學士學位, Mathematics, 2013 ~ 2017

Four years of mathematical training make me good at mathematical reasoning, deduction, reading proofs, and abstract thinking. My personal interest is in probability theory and statistics. Currently, I teaching myself mathematical finance and stochastic process.

台北市立建國高級中學, 高中文憑, 2010 ~ 2013

Projects

Frame Interpolation

This was a competition held by MediaTek. We are asked to interpolate between two frames to increase the FPS of a video. Key concepts include optical flow detection and forward/backward warping. We successfully increased our FPS by two and eight times. 


Deep Learning on Limited Data

This is the project mentioned in the above working experience. I am responsible for model designing, training, and system building, that is, code implementation. While doing the project, I deployed several advanced deep learning models, e.g., Wide ResNet. This was a valuable experience, not only because of limited data is a fundamental problem in machine learning, but also the integration of different machine learning techniques like self-supervised learning and pseudo-labeling. 


Database Normalization Automation

We proposed a graphical model on the functional dependencies of a relational database, called Functional Dependency Graph (FDG). Using FDG, we are capable of finding keys and superkeys of the database based only on the initial dependencies between attributes. In addition, FDG can tell us which normal form our relational database is in. Moreover, FDG can normalize a relational database automatically into the first, second, third, and Boyce–Codd normal form. 

Legal-Tech Hackathon

This Hackathon was the intersection of the law industry and the tech industry. We designed and implemented a system to predict whether a contract written by the employer follows the Fair Trade Act or not. We use the Sentence Bert model as our NLP model, and collected tons of data from related court's Judgment. We earned a special price from this competition. 


My Research


My research focuses on optimizing the DSMGAII (arXiv:1807.11669) proposed by our lab in 2015. Currently, I am analyzing and optimizing the Restricted Mixing (RM) operator of DSMGAII. RM is the exploration power of DSMGAII, together with the Back Mixing (BM) operator, they are able to solve nearly decomposable combinatorial optimization problems.

Skill


Basic Programming

  • C
  • C++
  • Python
  • JavaScript


Machine Learning

  • PyTorch
  • Deep Learning
  • Genetic Algorithms
  • Evolutionary Algorithms

Others

  • SQL
  • Flask
  • React