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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
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
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
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 Engineering
智慧製造全端開發工程師 @聯華電子股份有限公司2022 ~ Present
・
AI工程師、機器學習工程師、深度學習工程師、影像演算法工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
潘揚燊 ㄕㄣ Shen Pan Kaohsiung City，Taiwan • [email protected] 希望職務：人工智慧、機器視覺應用開發工程師 現任 : 聯華電子 RPA 平台全端開發工程師 您好，我是潘揚燊，目前任職於 聯華電子 ， 擔任 智慧製造 全端開發工程師 ， 畢業於元智大學工業工程與管理學系研
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學
・
工業工程與管理學系所
Senior engineer @Chicony Electronics Co, Ltd.2018 ~ Present
・
全端工程師、後端工程師、前端工程師、軟體專案主管、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
Nelson Chen Senior engineer Dedicated Software Engineer with 6+ Years of Experience Senior software engineer specializing in web page development and deep learning. Proficient with machine learning technologies, such as TensorFlow, Numpy, etc. Experience Senior engineer • Chicony Electronics Co, Ltd. ．Build an Auto-Encoder AI model for defective detection. ．Build an object detection model for detecting car types. ．Developed a Front-End and Back-End website for data analysis. ．Manage the production process and make it automated production. NovPresent Software engineer • Teco image systems co. ltd ．Developed and maintained MFP driver
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan Ocean 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.
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Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
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Professional Background
Current status
Job Search Progress
Professions
Data Engineer
Fields of Employment
Software
Work experience
Less than 1 year
Management
Skills
Languages
Job search preferences
Positions
Full stack web Developer , Machine learning Engineer
Job types
Part-time
Locations
Remote
Interested in working remotely
Freelance
Educations
School
Helwan University
Major
Biomedical
Aya Nasser Mohammed
A passionate Machine Learning |Computer Vision Engineer who always looking for new challenges
Cairo, EG
+201288149179 || +201118078643
Date of Birth: 02-04-1996
aya.nasser.mohammed@gmail.com
Education
Helwan University, Bachelor's in Biomedical Engineering 2014 ~ 2019
Graduation project : Exceptional A+ , Cumulative assessment : Very Good with honor
Work Experience
Computer vision Engineer Jan 2020- present
@Advanced Programs Co Trd
- Working on video analytics project to turn Riyadh city to AI smart city
- Video analytics projects solved with both classical and deep learning solutions
- Dataset collecting, cleaning, ..etc
- Hands on experience with openvino | Intel models
- Hands on experience with Deepstream |Nvidia TLT
Data Engineer May 2019 - October 2019
@Appen
I worked remotely with Appen as a Data Engineer in different tasks such as : - Collecting data | Web scraping
- Data augmentation
- Exploring, Cleaning data
- Data visualization
- Data Classification and rating
AI Engineer Intern Aug 2019 - Sep 2019
@PaxeraHealth.
- Worked on Deep learning - Computer vision projects in Health-Care field
(Chest Xray, Mammography, etc.) - Worked with different and efficient Deep Neural Networks such ( DensNets , ResNets , SENets ENASNets , etc)
- Using the latest optimization and regularization techniques such as RAdam, , Snapshot ,Cos annealing, schedule and more
- Have implemented with Pytorch , Fastai
- Gained experience in Deploying DNN models by using (Flask , FastCGI, IIS )
(Chest Xray, Mammography, etc.)
Volunteering Experience
1. Campus Ambassador@
Hult Prize Foundation
2017 - 2018
2. Chair Lady
Biomedical Club
2016 - 2017
3. IT and HR member IEEE|HSB
2016 - 2017
Online Courses
1. Deep Learning Specialization a 5-course specialization
@ deeplearning.ai
2. Machine Learning Specialization a 4-course specialization
@ University of Washington
3. Computer Vision Courses
@ Stanford and Udemy
4. Computer Vision nanodegree @Udacity
5. Data Analysis nanodegree @Udacity
Projects
Sep 2019
Computer vision nanodegree projects @ Udacity
- Facial key point detection
- Automatic Image Captioning
- Landmark Detection & Tracking
Sep 2019
@PaxeraHealth Internship
Applying my Deep learning knowledge in health care field in different projects such as :
- Chest X-ray , Mammography ,..etc
- Deploying DL models using Flask , FastCGI and IIS (Microsoft server)
- Have worked with different and efficient Deep Neural Networks such ( DensNets , ResNets , SENets ENASNets , etc)
- Using the latest optimization and regularization techniques such as RAdam, , Snapshot ,Cos annealing, schedule and more
- Using different Ensemble Techniques that fit with DL models
2018 - 2019
Graduation project @ Helwan Uni.
"Real time Pose trainer"
We have made a GUI Deep learning application that detect and evaluate how correct is the exercise which the patient have performed (Either physical therapy or Fitness exercises) , and give them a written feedback about their exercise if it's correct or wrong and how to improve it at different cases , We detect either in real-time or with a recorded video , and this is all after "Detecting human pose and keyPoints stage " , For more clearness just click on this videos , Code not published yet Skills that i've gained : which mentioned below in skills section of AI
May 2019
Parkinson-s-Diseases-Classification-Using-Force-Field
Using Matlab , Dataset from phsyonet , stages were
(Pre-processing data, Feature extraction and Knn Classifier ) Code and discussion available here
Accomplishments and Honours
Code Battle By A2OJ and WUZZUF
Egypt’s first programming competition, semi-finalist
IEEEXtreme
Enrolling in IEEEXtreme for the first time - 11th place in Egypt
Maker Hackathon Hardware
Team Leader
We make a prototype (wearable suit that indicate some medical parameter) and we won invitation to London (Hult prize Finalists Camp )
Skills
AI
- Python
- Anaconda | Docker
- ML | DL | CNN
- Keras |Tensorflow |Pytorch | Onnx
- Computer Vision | Image
Processing
- Data Cleaning |Exploring|
visualization
- Descriptive and inferential statistics
- Deploy DNN models on IIS
- Github | git
- Linux
- Deepstream5
- OpenVino
visualization
Personal Skills
- Highly management skills
- Very high research skills
- Problem solver
- Excellent self learner
- Excellent with time management
- Excellent communication skills
- Excellent presenter
- Very Flexible
- Easily work with a team or individually
Languages :
- Arabic - Native(Mother tongue)
- English - Advanced
References
Nancy Salem
Professor at faculty of Engineering Helwan Uni.
Email: [email protected]
Phone: +201009161388
Aya Nasser Mohammed
A passionate Machine Learning |Computer Vision Engineer who always looking for new challenges
Cairo, EG
+201288149179 || +201118078643
Date of Birth: 02-04-1996
aya.nasser.mohammed@gmail.com
Education
Helwan University, Bachelor's in Biomedical Engineering 2014 ~ 2019
Graduation project : Exceptional A+ , Cumulative assessment : Very Good with honor
Work Experience
Computer vision Engineer Jan 2020- present
@Advanced Programs Co Trd
- Working on video analytics project to turn Riyadh city to AI smart city
- Video analytics projects solved with both classical and deep learning solutions
- Dataset collecting, cleaning, ..etc
- Hands on experience with openvino | Intel models
- Hands on experience with Deepstream |Nvidia TLT
Data Engineer May 2019 - October 2019
@Appen
I worked remotely with Appen as a Data Engineer in different tasks such as : - Collecting data | Web scraping
- Data augmentation
- Exploring, Cleaning data
- Data visualization
- Data Classification and rating
AI Engineer Intern Aug 2019 - Sep 2019
@PaxeraHealth.
- Worked on Deep learning - Computer vision projects in Health-Care field
(Chest Xray, Mammography, etc.) - Worked with different and efficient Deep Neural Networks such ( DensNets , ResNets , SENets ENASNets , etc)
- Using the latest optimization and regularization techniques such as RAdam, , Snapshot ,Cos annealing, schedule and more
- Have implemented with Pytorch , Fastai
- Gained experience in Deploying DNN models by using (Flask , FastCGI, IIS )
(Chest Xray, Mammography, etc.)
Volunteering Experience
1. Campus Ambassador@
Hult Prize Foundation
2017 - 2018
2. Chair Lady
Biomedical Club
2016 - 2017
3. IT and HR member IEEE|HSB
2016 - 2017
Online Courses
1. Deep Learning Specialization a 5-course specialization
@ deeplearning.ai
2. Machine Learning Specialization a 4-course specialization
@ University of Washington
3. Computer Vision Courses
@ Stanford and Udemy
4. Computer Vision nanodegree @Udacity
5. Data Analysis nanodegree @Udacity
Projects
Sep 2019
Computer vision nanodegree projects @ Udacity
- Facial key point detection
- Automatic Image Captioning
- Landmark Detection & Tracking
Sep 2019
@PaxeraHealth Internship
Applying my Deep learning knowledge in health care field in different projects such as :
- Chest X-ray , Mammography ,..etc
- Deploying DL models using Flask , FastCGI and IIS (Microsoft server)
- Have worked with different and efficient Deep Neural Networks such ( DensNets , ResNets , SENets ENASNets , etc)
- Using the latest optimization and regularization techniques such as RAdam, , Snapshot ,Cos annealing, schedule and more
- Using different Ensemble Techniques that fit with DL models
2018 - 2019
Graduation project @ Helwan Uni.
"Real time Pose trainer"
We have made a GUI Deep learning application that detect and evaluate how correct is the exercise which the patient have performed (Either physical therapy or Fitness exercises) , and give them a written feedback about their exercise if it's correct or wrong and how to improve it at different cases , We detect either in real-time or with a recorded video , and this is all after "Detecting human pose and keyPoints stage " , For more clearness just click on this videos , Code not published yet Skills that i've gained : which mentioned below in skills section of AI
May 2019
Parkinson-s-Diseases-Classification-Using-Force-Field
Using Matlab , Dataset from phsyonet , stages were
(Pre-processing data, Feature extraction and Knn Classifier ) Code and discussion available here
Accomplishments and Honours
Code Battle By A2OJ and WUZZUF
Egypt’s first programming competition, semi-finalist
IEEEXtreme
Enrolling in IEEEXtreme for the first time - 11th place in Egypt
Maker Hackathon Hardware
Team Leader
We make a prototype (wearable suit that indicate some medical parameter) and we won invitation to London (Hult prize Finalists Camp )
Skills
AI
- Python
- Anaconda | Docker
- ML | DL | CNN
- Keras |Tensorflow |Pytorch | Onnx
- Computer Vision | Image
Processing
- Data Cleaning |Exploring|
visualization
- Descriptive and inferential statistics
- Deploy DNN models on IIS
- Github | git
- Linux
- Deepstream5
- OpenVino
visualization
Personal Skills
- Highly management skills
- Very high research skills
- Problem solver
- Excellent self learner
- Excellent with time management
- Excellent communication skills
- Excellent presenter
- Very Flexible
- Easily work with a team or individually
Languages :
- Arabic - Native(Mother tongue)
- English - Advanced
References
Nancy Salem
Professor at faculty of Engineering Helwan Uni.
Email: [email protected]
Phone: +201009161388