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4-6 years
6-10 years
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More than 15 years
Supervisor Digital Marketing @Royal ATK2021 ~ 2023
・
Data Entry
Within two months
Abraham Agung Pengalaman Kerja Selama 9 Tahun 10 Bulan Di Royal ATK di berbagai posisi mulai dari Pramuniaga , Kasir , Logistik , Supervisor Resto , Supervisor Digital Marketing. Pencapaian paling berkesan saat menangani divisi digital marketing yang mulai 0 sampai menyentuh angka 117 juta per bulan. So Thank You for Experience and keep do the best. Malang, Malang City, East Java, Indonesia Pengalaman Kerja MaretFebruari 2023 Supervisor Digital Marketing Royal ATK Mengawali divisi baru lagi dengan tim awal saya sendiri. Mengembangkan menjadi tim beranggotakan 6 orang yang mengembangkan dan mengoptimalkan penjualan online Royal ATK malang melalui Shopee & Tokopedia.
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
SMA Negeri 9 Malang
資料分析師 Data Analyst @Portto 門戶科技| Blocto2022 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
臺灣大學
・
流行病學與預防醫學所 生物統計組Past
博士後研究員 @洛桑大學神經發育疾病實驗室2023 ~ 2023
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
洛桑聯邦理工學院(EPFL)
・
神經科學
Product Manager @東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)2023 ~ 2023
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
梁賦康 （Foo-Hong, Leong） Taoyuan City, Taiwan Email: [email protected] Tel:Skills • Languages: Python • DataBases: MySQL, SQLite • Infrastructure tools: Github • Machine learning libraries: TensorFlow, Keras, and Scikit-learn • Data visualization tools: Power BI, Seaborn and Matplotlib • Deployment: Streamlit Summary I have been working in Motor Manufacturing Industry for 8 years. My first programming was going to my Bachelor's degree, C++ was the first program I learned. Then I started to learn Python in 2018 at TEDU and my first project was the Stock Trend Prediction by CNN. I kept
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立成功大學 National Cheng Kung University
・
Mechanical EngineeringPast
Senior Data Analyst @趨勢科技2022 ~ Present
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
輔仁大學 Fu Jen Catholic University
・
統計資訊學系
Past
Career transition @Career Break2024 ~ 2024
・
NLP Engineer / Data Scientist / Machine Learning Engineer
Within one month
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
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chengchi University
・
資訊科學系
Past
Service Provider @Taron Solutions Limited2023 ~ 2023
・
AI工程師、機器學習工程師、電腦視覺工程師、資料科學家、Machine Learning Engineer、Computer Vision Engineer、Data Scientist
Within one month
李慕全(MuChuan Li) 畢業於國立臺北科技大學資工所，研究領域為深度學習、電腦視覺、及影像處理。在學期間致力於應用電腦視覺技術解決交通問題，擁有多項產學合作的專案開發經驗，亦在電腦視覺領域中發表過多篇學術論文，主要研究主題包含物
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺北科技大學
・
資訊工程
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
medical Q&A applications, improving model performance by 2.01% . Efficiency Optimization: Utilized Low-Rank Adaptation (LoRA) for training LLM, 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
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
Data Engineer @Rooit Inc. (XO App)2023 ~ 2023
・
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
邱義塵 於獨角獸多媒體設計有限公司擔任 遊戲測試工程師一職 建立公司測試團隊的測試流程和撰寫自動化測試程式 SDET、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 城市，TW [email protected] 工作經歷 獨角獸多媒體
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
中國醫藥大學(China Medical University)
・
臨床醫學研究所
OPC Chief Engineer @TSMC2020 ~ Present
・
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
Chun-Jung Huang [email protected] Chiao-Tung University, Ph.D. - Photonics,2015 ~ 2020 Member of The Phi Tau Phi Scholastic Honor Society of the Republic of China. Work Experience TSMC, OPC Chief Engineer (MarPresent) ◆Introduced image anomaly detection techniques to identify and address defects in photomask manufacturing, significantly improving product quality and reducing turnaround time. ◆Managed large-scale data processing tasks, demonstrating expertise in analyzing and handling datasets of hundreds of millions, to bolster model development and optimization. ◆Excelled in distributed computing, optimizing code execution across thousands of systems to
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chiao-Tung University
・
Ph.D. - Clinical EngineeringThe Most Lightweight and Effective Recruiting Plan
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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
Software Engineer, Firmware Engineering, Machine Learning Engineer
Fields of Employment
Artificial Intelligence / Machine Learning, Software
Work experience
Less than 1 year
Management
None
Skills
Languages
English
・
Intermediate
Job search preferences
Positions
Firmware Engineer, Software Engineer, AI Engineer
Job types
Full-time
Locations
台灣台北, 台灣新北市, 台灣桃園
Remote
Interested in working remotely
Freelance
Educations
School
國立台灣大學
Major
生物機電所
Education
National Central University, Electrical Engineering(2015.09 ~ 2019.07)
National Taiwan University, Biomechatronics Engineering (2020.09 ~ 2022.09)
Skill
Programming
- Python
- C
- C ++
- Verilog
Machine learning
- Pytorch
- Tensorflow
- Keras
Backend and Database
- Django
- MySQL
Others
- Git
- Linux
Correlated curriculum
Machine Learning, Deep Learning for Computer Vision, Data Structure and Algorithm, Operation System
Computer Organization, Digital Systems Design, Digital Signal processor
Digital Image Processing, Bioinformatics Algorithms, Biomedical Data Mining,
Work experience
Algorithm Engineer • Gomore
Feb 2023 - Jul 2023
- Analyzing physiological signals(PPG) and implement physiological algorithms.
- Using C language to implement to wearable devices.
- Validation the modules in the group.
Database and Backend Engineer PT • MISSMI INTELLIGENCE
Sep 2021 - Jan 2022
- Bioinformatics data integration and presentation
- Backend API developm to APP
Teaching Assistant • National Taiwan University
Feb 2021 - Jul 2021
- Electronics and Laboratory
- Integrate course information
- Design electronic experiments, using oscilloscopes, power supplies, signal generators and Pspice to simulate various circuits
- Homework problem solving, following class to solve classmates' problems
July 2021 - Sep 2021
- Bioinformatics algorithm
- Designed assignments related to bioinformatics information.
- Integrate course information
- Assist in classroom report submission content evaluation
:Thesis title：Using deep learning to predict T-cell receptors binding specificity
- Using the Transfer learning and ProBert protein language model to predict pMHI-I binding of T-cell receptor.
- Compared to existing paper, we have higher accuracy and faster inference.
Project Experience
Python, Pytorch
Skull fracture detection ( Faster R-CNN ):
- This project works with Inventec in Deep Learning for Computer Vision
- Train a neural network to detect whether the patient has skull fractures and where they are by utilizing data annotated by physicians.
- We used Faster R-CNN to implement object detection to predict where they are by utilizing data annotated by physicians.
Python, Django
Costco notice of goods
- Design a crawler to notify the customer when the item in stock.
- Using Django to build a Linebot
Web backend API Design
Verilog
- Single Cycle implementation
Other Projects
C++
- Greedy snake design
Verilog
- Gobang in FPGA
- Single Cycle implementation
Python
- Data structure algorithm implementation
- Image processing implementation
Pytorch
- Image Classification ( CNN, Semi-Supervised learning, Self-Supervised learning, VIT, ACGAN )
- Sequence to Sequence( Transformer, BERT )
- Semantic segmentation ( FCN, U-net)
- Face and Digit Generation ( SC-GAN)
- Lunar Lander Game ( Reinforcement Learning )
- Skull fracture detection ( Faster R-CNN )
Django
- Web backend API Design
- Costco notice of goods
Linux
- Simple shell script design and server administration
Education
National Central University, Electrical Engineering(2015.09 ~ 2019.07)
National Taiwan University, Biomechatronics Engineering (2020.09 ~ 2022.09)
Skill
Programming
- Python
- C
- C ++
- Verilog
Machine learning
- Pytorch
- Tensorflow
- Keras
Backend and Database
- Django
- MySQL
Others
- Git
- Linux
Correlated curriculum
Machine Learning, Deep Learning for Computer Vision, Data Structure and Algorithm, Operation System
Computer Organization, Digital Systems Design, Digital Signal processor
Digital Image Processing, Bioinformatics Algorithms, Biomedical Data Mining,
Work experience
Algorithm Engineer • Gomore
Feb 2023 - Jul 2023
- Analyzing physiological signals(PPG) and implement physiological algorithms.
- Using C language to implement to wearable devices.
- Validation the modules in the group.
Database and Backend Engineer PT • MISSMI INTELLIGENCE
Sep 2021 - Jan 2022
- Bioinformatics data integration and presentation
- Backend API developm to APP
Teaching Assistant • National Taiwan University
Feb 2021 - Jul 2021
- Electronics and Laboratory
- Integrate course information
- Design electronic experiments, using oscilloscopes, power supplies, signal generators and Pspice to simulate various circuits
- Homework problem solving, following class to solve classmates' problems
July 2021 - Sep 2021
- Bioinformatics algorithm
- Designed assignments related to bioinformatics information.
- Integrate course information
- Assist in classroom report submission content evaluation
:Thesis title：Using deep learning to predict T-cell receptors binding specificity
- Using the Transfer learning and ProBert protein language model to predict pMHI-I binding of T-cell receptor.
- Compared to existing paper, we have higher accuracy and faster inference.
Project Experience
Python, Pytorch
Skull fracture detection ( Faster R-CNN ):
- This project works with Inventec in Deep Learning for Computer Vision
- Train a neural network to detect whether the patient has skull fractures and where they are by utilizing data annotated by physicians.
- We used Faster R-CNN to implement object detection to predict where they are by utilizing data annotated by physicians.
Python, Django
Costco notice of goods
- Design a crawler to notify the customer when the item in stock.
- Using Django to build a Linebot
Web backend API Design
Verilog
- Single Cycle implementation
Other Projects
C++
- Greedy snake design
Verilog
- Gobang in FPGA
- Single Cycle implementation
Python
- Data structure algorithm implementation
- Image processing implementation
Pytorch
- Image Classification ( CNN, Semi-Supervised learning, Self-Supervised learning, VIT, ACGAN )
- Sequence to Sequence( Transformer, BERT )
- Semantic segmentation ( FCN, U-net)
- Face and Digit Generation ( SC-GAN)
- Lunar Lander Game ( Reinforcement Learning )
- Skull fracture detection ( Faster R-CNN )
Django
- Web backend API Design
- Costco notice of goods
Linux
- Simple shell script design and server administration