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4-6 years
6-10 years
10-15 years
More than 15 years
Modelador bim y arquitecto @ZOIN SPA2022 ~ Present
・
Bim modeler
Within one year
Employed
Full-time / Interested in working remotely
4-6 years
Universidad de Chile
・
Modelación y Coordinacion de proyectos con BIM
Past
Staff Drafter Dan Pengawas @CV. Voxser Jaya MEP2022 ~ 2023
・
Drafter dan Pengawas
Within one year
Putra Aditya Junior Drafter Kontruksi Dengan Pengalaman selama 9 tahun. Berpengalaman dalam Project High-rise, Real estate, dan Pabrik. Berhasil Membuat gambar Kerja yang cepat, dan mudah di pahami Sehingga Meminimalisir kesalahan dan keterlambatan waktu pekerjaan. Tangerang City, [email protected] Pengalaman Kerja Staff Drafter Dan Pengawas • CV. Voxser Jaya MEP AgustusSeptember 2023 | Tangerang, Jakarta, Cikarang, Karawang 1. Membuat Shopdrawing, Dan Asbuilt drawing 2. Membuat Time Schedule dan bobot Pekerjaan 3. Monitoring Pekerjaan yang belum di kerjakan, akan di kerjakan, dan yang sudah di kerjakan. 4. Mengawasi dan mengatur
Unemployed
Full-time / Interested in working remotely
6-10 years
SMK WIJAYA KUSUMA
・
otomotif
BIMer @YSL Architects & Associates2018 ~ 2022
・
Within one year
CG Generalist Artist. CG artist • Pili International Multimedia Co., Ltd. 四月六月 2013 把 2D 繪畫觀念帶到 3D 軟體中應用，電影製作經驗的美術設計 The concept of 2D painting to the application of 3D software, film production experience of art design. 學歷 國立聯合大學 National United University 建築系技能 PowerPoint Word Photoshop Revit Architecture MAYA 3DMAX Blender natron Krita After Effects 語言 English — 中階 Chinese — 母語或雙語
Full-time / Interested in working remotely
4-6 years
國立聯合大學 National United University
・
建築系
Past
Site Engineer @Er.Kola Anna Reddy2016 ~ 2021
・
Site Engineer
Within one month
to plan infrastructure and construction projects. Developed cost estimates for planned projects to aid in costing and budget planning efforts. Monitored team of 10 personnel during construction activities for compliance with health and safety requirements Education JuneMar-2000 Vivekananda vidyanikethan High school AprJan 2015 J.R.N Rajasthan vidyapeeth (Deeemed) university Diploma in civil Skills Auto-cad 3dsmax Revit architecture MS-word Languages Language — Telugu]} Language — English Language — Hindi SHARAVAN KUMAR JAGIRI SITE ENGINEER Karimnagar, Telangana, India Ingenious site engineer Successfully Monitor quality construction. Skilled at reading blue prints and communicating duties to workers.
Unemployed
Full-time / Interested in working remotely
4-6 years
J.R.N Rajasthan vidyapeeth (Deemed ) university
Project Architect @Al Bonian Architects, Cairo, Egypt2014 ~ 2016
・
Architect, Interior designer, Technical Engineer
More than one year
Moemen el shazly Detail-oriented architect with 5 years of experience in interior design and fit-out. Proficient in Revit Architecture, 3D MAX, AutoCAD, Adobe creative suite and in possession of a Bachelor's in Architectural Engineering & Urban design. Architect, Interior designer, Technical Engineer Alexandria, EG [email protected] Experience Cadd interiors LLC, Dubai, UAE, Senior Architect, Oct 2017 ~ Jul 2019 • Control project from start to finish to ensure high quality, innovative and functional design. • Take the “brief” to identify clients’ needs and put together feasibility reports and design proposals. • Develop ideas
Full-time / Interested in working remotely
4-6 years
Alexandria University
・
Bachelor's degree Architecture and Related Services6-10 years
Civil Draftsman @GulAhmed Textile Mills Limited2019 ~ Present
・
More than one year
Full-time / Interested in working remotely
6-10 years
Skill Development Council SDC
・
Autodesk Revit The 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.
Within six months
Sr. software engineer (Full Remote) @ Gatos Vision
Gatos Vision
・
2022 ~ Present
Professional Background
Current status
Employed
Job Search Progress
Professions
Software Engineer, Research / R&D, Machine Learning Engineer
Fields of Employment
Manufacturing, Artificial Intelligence / Machine Learning, Software
Work experience
1-2 years
Management
None
Skills
Languages
Chinese
・
Native or Bilingual
English
・
Intermediate
Japanese
・
Beginner
Job search preferences
Positions
機器學習、資料科學工程師
Job types
Full-time
Locations
Taiwan, 台灣, Taipei, 台灣
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
National Taiwan University
Major
Civil Engineering
Zhao-Yang Zhuang (莊昭陽)
Experience with computer vision, deep learning. I am very passionate about design a novel DL model architecture for real world problems and hope to participate in more types of applications.
ML engineer Data scientist
[email protected] https://www.linkedin.com/in/rogan-zhuang/
Educations
National Taiwan University
Civil Engineering, Computer-Aided Engineering Group (M.S. degree)
(2018 ~ 2020)
Master Thesis:
Deep-learning method assisted crane for sway prediction: Recurrent Kalman Network.
Work Experiences
(Automation Services Co., LTD.) (AI/CV Engineer)
(Feb, 2021 - Oct, 2021)
- The main developer of AI/CV algorithm.
- Compiled the AI/CV part of automatic fabric inspection machine alone from scratch.
Research Experiences
Deep-learning method assisted crane for sway prediction : Recurrent Kalman Network
(Dec, 2019 - Jun, 2020)
Robotic LAB, NTU & 祐彬 Construction Co., Ltd
- Predicting the future position of a payload by RKN to assist in the automation of crane.
- The state of the payload system can be inferred by the combined information between the image pixels.
Tensorflow(Keras) OpenCV Python C/C++ Deep Learning
The second generation of automatic fabric inspection machine
(Feb, 2021 - Apr, 2021)
Automation Services Co., LTD.
- Detecting the defects on the textile by deep learning that efficiency is at least ten times of manual visual inspection.
- Calculate the area and location of defects by semantic segmentation.
- The prototype machine can detect the width of about two meters with eight cameras.
C# Deep Learning
The third generation of automatic fabric inspection machine
(May, 2021 - Oct, 2021)
Automation Services Co., LTD.
- Based on the second-generation inspection machine, all of the features are upgraded, such as image grabbing system, camera calibration system, deep learning framework, thread optimization, etc.
- This mass production machine is online.
- Not implemented using Tensorflow or Pytorch.
Key achievement: 100% detection of defects required by customers, 36x8 frames per second detection speed.
C# Deep Learning Cameras System Multithread Programming
Side Projects
- Image automatic labeling: CNN-base object tracking by Siam-Net. [labeling 90x faster than manual]
- Document layout analyzing: locate file elements (titles, text, pictures, etc.) by image segmentation.
- HousePrice-prediction: Predict the HousePrice in Feature Engineering & Advanced Regression. [Kaggle top 0.04%]
- Flowers classification: Distributed training a CNN to classify 104 kinds of flower pictures. [Kaggle top 0.09%]
Zhao-Yang Zhuang (莊昭陽)
Experience with computer vision, deep learning. I am very passionate about design a novel DL model architecture for real world problems and hope to participate in more types of applications.
ML engineer Data scientist
[email protected] https://www.linkedin.com/in/rogan-zhuang/
Educations
National Taiwan University
Civil Engineering, Computer-Aided Engineering Group (M.S. degree)
(2018 ~ 2020)
Master Thesis:
Deep-learning method assisted crane for sway prediction: Recurrent Kalman Network.
Work Experiences
(Automation Services Co., LTD.) (AI/CV Engineer)
(Feb, 2021 - Oct, 2021)
- The main developer of AI/CV algorithm.
- Compiled the AI/CV part of automatic fabric inspection machine alone from scratch.
Research Experiences
Deep-learning method assisted crane for sway prediction : Recurrent Kalman Network
(Dec, 2019 - Jun, 2020)
Robotic LAB, NTU & 祐彬 Construction Co., Ltd
- Predicting the future position of a payload by RKN to assist in the automation of crane.
- The state of the payload system can be inferred by the combined information between the image pixels.
Tensorflow(Keras) OpenCV Python C/C++ Deep Learning
The second generation of automatic fabric inspection machine
(Feb, 2021 - Apr, 2021)
Automation Services Co., LTD.
- Detecting the defects on the textile by deep learning that efficiency is at least ten times of manual visual inspection.
- Calculate the area and location of defects by semantic segmentation.
- The prototype machine can detect the width of about two meters with eight cameras.
C# Deep Learning
The third generation of automatic fabric inspection machine
(May, 2021 - Oct, 2021)
Automation Services Co., LTD.
- Based on the second-generation inspection machine, all of the features are upgraded, such as image grabbing system, camera calibration system, deep learning framework, thread optimization, etc.
- This mass production machine is online.
- Not implemented using Tensorflow or Pytorch.
Key achievement: 100% detection of defects required by customers, 36x8 frames per second detection speed.
C# Deep Learning Cameras System Multithread Programming
Side Projects
- Image automatic labeling: CNN-base object tracking by Siam-Net. [labeling 90x faster than manual]
- Document layout analyzing: locate file elements (titles, text, pictures, etc.) by image segmentation.
- HousePrice-prediction: Predict the HousePrice in Feature Engineering & Advanced Regression. [Kaggle top 0.04%]
- Flowers classification: Distributed training a CNN to classify 104 kinds of flower pictures. [Kaggle top 0.09%]