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National Taiwan University
Senior Front-End Engineer @TonFura2023 ~ Sekarang
・
Front-End engineer / Full-stack engineer
Dalam satu bulan
various devices. Achieved over 80% unit testing coverage to enhance code reliability and maintainability. Provided valuable feedback to project management and UI design teams for continuous improvement of user experience. Orchestrated the migration of web applications to a monorepo architecture to adapt to a microservices approach, ensuring scalability and modularity. Role: Lead developer Stacks: Turborepo, Next.js, React, TypeScript, Tailwind CSS, CSS Modules, Material UI, Highcharts, Jest and GraphQL Single-handedly led the development of the Tonfura SDK package, recognized as the pinnacle of TypeScript SDKs for seamless interaction with the TON blockchain. This
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
National Taiwan University
・
Computer Science and Information Engineering
Controls/Software Engineer @CYTENA BPS2022 ~ Sekarang
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Software Engineer / Backend Engineer
Dalam satu bulan
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
National Taiwan University
・
Computer Science
Past
Data Engineer @BUBBLEYE | We're hiring!2021 ~ 2022
・
Software Enginer
Dalam satu bulan
at peak. The data inserted into BigQuery was: Table size:GB Number of rows: 6,268,519,176 Qudowe Project Lead & Software Engineer Product of Pixnet Travel Hackathon 2019, a trip planner based on Instagram's data Work Experience Vpon, Data Engineer Aug 2018 ~ Oct 2020 Implement Akka-http(Scala) server endpoints for Vpon Data Platform Product Create new ETL pipelines using GCP Spark(Apache Spark) and GCP Dataflow(Apache Beam) to batch input/output hundreds of files Migrate existing ETL pipelines from AWS(Hive SQL) to GCP(BigQuery SQL) using python Migrate datawarehouse from AWS(Hive) to
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
National Taiwan University
・
電機工程學系
Engineer II @SiFive2022 ~ Sekarang
・
Dalam satu bulan
stressing for all the units/modules of core IPs Design and implement self-checking routines in the midst of every test programs Triage hardware design errors and revise the methodology of verification Sr. Embedded Software Engineer Phison Electronics Corps. MarAugNew Taipei, Taiwan Design and develop stable and scalable HAL APIs for high level software development on PCIe 4.0 enterprise SSD Introduce GitLab CI/CD automation to monitor and verify the stability and correctness of the software on the SSD Design test plans and implement test procedures to verify the correctness of clocks and hardware
Sudah bekerja
・
Terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
National Taiwan University
・
Mechanical Engineering
Principal Engineer, Data Engineering @KKCompany2023 ~ Sekarang
・
Backend Engineer, Data Engineer, MLOps Engineer
Dalam satu bulan
Chin-Hung (Wilson) Liu I am a lead architect responsible for designing and implementing a large-scale data pipeline for Lomotif, Paktor x 17LIVE, utilizing GCP/AWS/Python/Scala, in collaboration with data science and machine learning teams in Singapore and TW HQ, as well as with the Hadoop ecosystem (HDFS/HBase/Kafka) at JSpectrum in Hong Kong and Sydney. With over 15 years of experience in designing and developing Java/Scala/Python-based applications for daily operations, I bring: ● At least 8 years of experience in data analysis, pipeline design
Sudah bekerja
・
Terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
10-15 tahun
National Taiwan University
・
EMBA Programs, Business Administration, Accounting, Finance and International Business.
Software Engineer @SmartNews2019 ~ Sekarang
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數據分析 / 資料工程
Dalam satu bulan
Connor Hsu Curious about data and real world, building product to solve problem, making machine learning into product, writing is my interest. [email protected] Summary 9 years experience of large scale AI product building, and is capable of building product from scratch. Extensive problem solving experience for data science/engineering, and familiar with transferring real problem into requirements and solution planning. A well-rounded engineer in data project who bridges the gap between scientists and engineers. A pragmatic and ownership driven person, experienced with gap analysis, migration plan and release
Sudah bekerja
・
Tidak terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
National Taiwan University
・
Computer ScienceMobile Architect @Rakuten2019 ~ Sekarang
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Senior Android Engineer
Dalam satu bulan
Sudah bekerja
・
Tidak terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
National Taiwan University
・
Master degree Computer Science
Backend Engineer @Cooby2022 ~ 2023
・
Dalam satu bulan
www.linkedin.com/in/conrad-lana4/ ▶ three+ years of backend engineer in python/golang 工作經歷 Backend Engineer • Cooby 四月八月 2023 | Taipei, Taiwan I am a backend engineer with a track record of designing and implementing robust, scalable, and cost-effective infrastructure solutions for web applications. My core competencies include: - AWS Infrastructure: Successfully migrated the Cooby backend infrastructure from Heroku to AWS, establishing a unified management system using Terraform for streamlined administration. Designed a highly available and scalable architecture utilizing AWS ECS to ensure optimal
Sudah bekerja
・
Tidak terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
National Taiwan University
・
Communication EngineeringCEO @Pelith2021 ~ Sekarang
・
Dalam satu bulan
Sudah bekerja
・
Tidak terbuka untuk peluang
6-10 tahun
National Taiwan University
・
Network and Multimedia (CS)
Frontend Engineer @Web3 DeFi protocol2022 ~ Sekarang
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Front-End Engineer 網頁前端工程師
Dalam satu tahun
experience, I have a strong background in developing and maintaining web projects using the React.js ecosystem, including technologies such as React, React Hooks, Redux, React-Saga, Next.js, and GraphQL. I have also worked with Material UI, Chakra UI, webpack and SASS to create optimized and scalable applications. In addition to my expertise in React, I have also gained experience with the Vue.js ecosystem, including tools such as Vuex, Vue-Router, and Vuetify. I am comfortable working with both frameworks and have used them to deliver successful projects in the past.
Sudah bekerja
Full-time / Hanya bekerja jarak jauh
4-6 tahun
National Taiwan University
・
GeographyPaket Perekrutan Paling Mudah dan Efektif, Pilihan Ratusan Perusahaan
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Dalam enam bulan
Sr. software engineer (Full Remote) @ Gatos Vision
Gatos Vision
・
2022 ~ Sekarang
Latar Belakang Profesional
Status sekarang
Sudah bekerja
Tahap pencarian kerja
Profesi
Software Engineer, Research / R&D, Machine Learning Engineer
Bidang Pekerjaan
Manufaktur, Intelegensi Artifisial/Pemelajaran Mesin, Software
Pengalaman Kerja
1-2 tahun
Management
Tidak ada
Keterampilan
Bahasa
Chinese
・
Bahasa ibu atau Bilingual
English
・
Menengah
Japanese
・
Pemula
Preferensi Pencarian Pekerjaan
Jabatan
機器學習、資料科學工程師
Tipe Pekerjaan
Full-time
Lokasi
Taiwan, 台灣, Taipei, 台灣
Bekerja jarak jauh
Tertarik bekerja jarak jauh
Freelance
Ya, saya adalah freelancer amatir.
Pendidikan
Institusi Pendidikan
National Taiwan University
Jurusan
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%]