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4-6 years
6-10 years
10-15 years
More than 15 years
軟體工程師 @Wistron NeWeb Corporation 啟碁科技股份有限公司2023 ~ 2023
・
軟體工程師
Within two months
Studying
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立中正大學(National Chung Cheng University)
・
Computer Science and Information Engineering
Computer Vision Engineer @Academia Sinica2015 ~ Present
・
Computer Vision Engineer
Within one month
陳昱希 Computer Vision Engineer Yu-Hsi Chen has rich experience in developing computer vision and machine learning algorithms. In his recent work at Academia Sinica, he has focused on using machine learning to solve traditional computer vision and image / video processing problems. His developed NeighborTrack is a state-of-the-art single object tracking system in the field. During his school days, he used verilog on FPGA to implement the 3A system of the camera. website: Yu-hsi Chen (franktpmvu.github.io) Taipei City, Taiwan Yu-hsi Chen (franktpmvu.github
Open to opportunities
Full-time / Interested in working remotely
6-10 years
LUNGHWA university
・
Master of ScienceBlockchain Enginner & AI Lead @Portal Network
Blockchain engineer & Blockchain consulting
Within one month
Full-time / Interested in working remotely
4-6 years
Offline
Offline
Principal Engineer @Coretronic Corporation, 中強光電2020 ~ 2022
・
Machine Learning Engineer
Within one month
Senior Software Developer, Wuduker Inc., JanuaryOctober 2020 iSchedule, a preference aware scheduling system. Responsible for designing RESTful API, database schema and core scheduling solver Anomaly detection system with Deep Metric Learning Develop deep learning model with PyTroch and PyTorch-Lightning Consulting service. Including Spark pipeline optimization, deep learning model development and general Python/C++ development Machine Learning Engineer, Pinkoi Inc., DecemberDecember 2019 Recommendation System, including item-based/store-based recommendation, keyword suggestion, making significant improvement on recommendation quality and coverage. Machine Learning Algorithm Design Data Pipeline, including on-site advertising and
Employed
Full-time / Interested in working remotely
6-10 years
國立台灣大學
・
經濟學
Research Assistant of National Taiwan University @National Taiwan University2023 ~ Present
・
Graduate research assistant
Within six months
YEN-TING CHEN (陳彥廷) I am a graduate student in the Department of Psychology at National Taiwan University ( NTU). For me, diving into psychometrics and exploring data with reasonable statistical method is to clarify a new world of understanding people around us. Whether it's a quirky little issue or a big, serious one, I've got curiosity and grabbed my attention to figure out problems using the tools or theories of psychometrics and data analysis . Right now, I am turning curiosity into discoveries in the wild world of Psychology and All kinds of Data
Studying
Part-time / Interested in working remotely
4-6 years
National Taiwan University
・
Psychometrics (Division of Psychology), Methodology (Division of Psychology)
AI, Machine Learning and Data Manager @IRT Saint Exupery2021 ~ Present
・
Data Analyst、Data Scientist、AI Engineer、Project Manager
Within one month
Benjamin Deporte [email protected] AI, Machine Learning and Data Officer Innovative AI/ML seasoned leader with strong mathematical background and hands-on knowledge of machine learning algorithms and best practices. Specialized in Cybersecurity, Healthcare and Aerospace. Demonstrated driving business value through 10+ years of experience within different businesses, in direct management or thought leadership roles. Leadership, networking, communication and language skills. Skills Expertise in Artificial Intelligence and Machine Learning Specialization in Cybersecurity, Healthcare and Aerospace. Leadership abilities, networking and communication skills Business acumen in multicultural, global organizations Work
Employed
Full-time / Interested in working remotely
6-10 years
Télécom Paris
・
Cybersecurity
Past
Senior Software Engineer @DOINT2021 ~ 2023
・
Software engineer, Image Processing engineer, Algorithm engineer
Within three months
Docker Doxygen Swig (API for python from C++) OpenCV OpenCL Linux Skill multi-threads distributed computing serialization/deserialization CICD data version control (DVC) MLOps Image Processing PCA Interactive Segmentation Connected Component Image Stitching Direct Linear Transformation Kalman Filter (Tracking) SIFT Hough HoG Image Deblurring Depth Estimation ISP Machine Learning Framework Transformation Data Augmentation Transfer Learning Model Pruning Model Quantization Performance Evaluation Parameter Fine-tuning Model : SVM, LeNet, AlexNet, VGG, GoogLeNet, SSD, YOLO, MobileNet, ShuffleNet, FaceNet, Xception, MatrixNet, CenterNet, CSPNet, M2Det, EfficientNet/Det Projects HPC Keyword Spotting Automatic Speech Recognition Distributed Inference System Social Distancing Estimation (Lidar
Unemployed
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Communication Engineering
機器學習工程師 @日新軟體股份有限公司2021 ~ 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 six months
focus mainly on object detection, sensor fusion and sensor calibration. 3+ years of experience in machine learning. Used to conduct research in medical AI projects and possess experience in implement real-world end-to-end ML project . Skills Programming Languages Python C++ SQL Machine Learning TensorFlow Pytorch Scikit-learn Matplotlib Others FastAPI Docker Redis Linux Certification Taiwan AI Academy - AI Technical Professionals Program NVIDIA DLI Certificate – Applications of AI for Anomaly Detection Work Experience Machine Learning Engineer NEUTEC • MayPresent Develop, optimize and maintain the machine learning algorithm for internal process automation. Deploy machine
Employed
Full-time / Interested in working remotely
4-6 years
國立臺北科技大學
・
機電整合所AI & Embedded Systems Consultant @Self Employed2021 ~ Present
・
Deep Learning Engineer
More than one year
Kishan Gondaliya Experienced embedded software engineer working on Embedded Systems and Deep Learning to enable vision and voice-based machine learning algorithms on low-power FPGA and edge embedded devices. ~8 years of experience consists in writing, debugging, and optimizing software/firmware for embedded [email protected] Ahmedabad, Gujarat, India Skillset Languages: Frameworks: Dev Tools: HW Platform: Cloud (GCP): Cloud (AWS): Other: C, Python, C++ Tensorflow (TFlite, TFmicro), Keras, Caffe, Darknet Anaconda, Git, Gerrit, Perforce, Pycharm, CVS, Jira, Confluence Google Coral TPU, Lattice ECP5, U+, Crosslin-NX FPGA, Raspberry Pi, Intel Movidius, NVIDIA
Employed
Full-time / Interested in working remotely
4-6 years
Charotar University of Science & Technology
・
Electronics & CommunicationData Scientist | Associate Researcher @China Engineering Consultants, Inc.2020 ~ Present
・
資料分析師
More than one year
Employed
Full-time / Interested in working remotely
6-10 years
國立東華大學(National Dong Hwa 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.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
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Within one month
AI/Prompt Engineer @ Empathia.ai
Empathia.ai
・
2022 ~ Present
Professional Background
Current status
Employed
Job Search Progress
Professions
Data Engineer, Python Developer, Machine Learning Engineer
Fields of Employment
Software
Work experience
6-10 years
Management
Skills
Languages
English
・
Intermediate
Job search preferences
Positions
Machine Learning Engineer
Job types
Full-time
Locations
Taipei, 台灣
Remote
Interested in working remotely
Freelance
No
Educations
School
國立台灣大學
Major
經濟學
Experience
Senior AI/Prompt Engineer, Empathia.ai, 2023 July - Present
- Prompts Engineering, LLM Output Evaluation and Optimization.
- Design prompts for NLP tasks to generate high quality specialized SOAP report for different specialists.
- Implement and maintain a streaming service for various AI-powered functionalities with Apache Kafka.
Senior Data/ML Engineer, MobLab Inc., 2022 July - 2023 July
- Algorithm Design: game data analysis, user clustering
- RESTful API development: extensive experience on FastAPI, along with asyncio.
- Large-Language-Model(LLM): Hands-on experiences on building GPT-powered machine learning/AI system, which is capable of handling hundreds of note processing within 2 mins.
Principal Engineer, Coretronic Corporation., November 2020 - July 2022
- Robotic development with Python and C/C++
- Deep-learning based algorithm for robotic grasping
- Robotic Hand-Eye calibration, reach less than 5 mm projection error on Realsense L515 LiDAR camera with ordinary tripod
- Augmented Reality: design and implement algorithm for camera pose estimation, significantly improve the tracking performance by boosting the detection distance from less than 30cm to over 1m with frames per second rate over 65
- SLAM system development
- Large scale business strategic analysis with Spark
Senior Software Developer, Wuduker Inc., January 2020 - October 2020
- iSchedule, a preference aware scheduling system. Responsible for designing RESTful API, database schema and core scheduling solver
- Anomaly detection system with Deep Metric Learning
- Develop deep learning model with PyTroch and PyTorch-Lightning
- Consulting service. Including Spark pipeline optimization, deep learning model development and general Python/C++ development
Machine Learning Engineer, Pinkoi Inc., December 2017 - December 2019
- Recommendation System, including item-based/store-based recommendation, keyword suggestion, making significant improvement on recommendation quality and coverage.
- Machine Learning Algorithm Design
- Data Pipeline, including on-site advertising and internal BI reporting with Apache Airflow.
- Design and maintain automatic testing scheme
- Database optimization for accelerating internal BI reporting system by 50% (query time drops from approximately 2 mins to less than 1 min on average)
- https://www.pinkoi.com/
R&D Engineer, Speed 3D Inc., July 2015 - June 2017
- SDK Development (iOS, Android with Unity 3D)
- Backend Server Maintenance
- Algorithm Design
- http://www.spe3d.co
Co-Founder, 木刻思, June 2014 - June 2015
- General Affairs
- Recommendation Engine Maitenance
- https://data-sci.info
Research Assistant, National Taiwan University, June 2012 - June 2014
- Econometric Model Simulation
Projects (Selected)
- utensor_cgen and uTensor
- uTensor: A neural network inference library for MCU
- utensor_cgen: C++ code generator for uTensor
- https://github.com/uTensor/uTensor
- https://github.com/uTensor/utensor_cgen
- Insta3D
- Boosting backend resource utilization rate up by more than 60%
- Reduce significant backend server cost
- Talkii
- Responsible for Lip-syncing algorithm design
- Demo
- Insta3D Gifmoji
- Responsible for new avatar generating algorithm
- Accommodate Edge-Computing architecture
- Saving more than 50% cloud computing cost
- pypeup (GitHub)
- Library for building pipeline in a functional fashion
Talks
- PyData Taipei 2020
- DevFest 2020 Taipei Speaker (Room 4)
- COSCUP 2020 Speaker (Julia Track)
- COSCUP 2018 Speaker (uTensor)
- Speaker at 台灣資料愛好者年會 2014
- Hosting R Basic tutorial session
- MLDM Mondy
- CocoaHeads Taipei
- It's a talk about how to design and integrate C++ frameworks with Swift, with Objective-C++.
- EdgeMe Demo
Skill Sets
Python
Scientific computing and data visualization, including Tensorflow, PyTorch, numpy, scipy and matplotlib. Experience with RESTful API development using Flask and FastAPI.
C++
Familiar with OpenCV basic data structures such as Mat in addition to basic and advanced image processing API.
Building external library for python with pybind11
PySpark / Spark
Proficiency in Spark SQL for building efficient data processing pipeline. Experience in both integrating Python ML libraries with PySpark such as distributed hyperparameters search.
Apache Airflow
Familiar with the API for managing complex tasks scheduling and pipelines management
GCP DataProc, BigQuery
Working knowledge on GCP DataProc and BigQuery for building/tuning Spark Cluster and building large scale data warehouse with BigQuery
Tensorflow / PyTorch
Deep understanding of Tensorflow / PyTorch frameworks. Proficiency in designing tools and models based on these frameworks.
Apache Kafka
Proficiency in building streaming processing pipelines with Apache Kafka.
Education
M.S, Economics, National Taiwan University, 2011
Graduated in the top 5% of the class
B.S, Mathematics, National Taiwan University, 2009
Experience
Senior AI/Prompt Engineer, Empathia.ai, 2023 July - Present
- Prompts Engineering, LLM Output Evaluation and Optimization.
- Design prompts for NLP tasks to generate high quality specialized SOAP report for different specialists.
- Implement and maintain a streaming service for various AI-powered functionalities with Apache Kafka.
Senior Data/ML Engineer, MobLab Inc., 2022 July - 2023 July
- Algorithm Design: game data analysis, user clustering
- RESTful API development: extensive experience on FastAPI, along with asyncio.
- Large-Language-Model(LLM): Hands-on experiences on building GPT-powered machine learning/AI system, which is capable of handling hundreds of note processing within 2 mins.
Principal Engineer, Coretronic Corporation., November 2020 - July 2022
- Robotic development with Python and C/C++
- Deep-learning based algorithm for robotic grasping
- Robotic Hand-Eye calibration, reach less than 5 mm projection error on Realsense L515 LiDAR camera with ordinary tripod
- Augmented Reality: design and implement algorithm for camera pose estimation, significantly improve the tracking performance by boosting the detection distance from less than 30cm to over 1m with frames per second rate over 65
- SLAM system development
- Large scale business strategic analysis with Spark
Senior Software Developer, Wuduker Inc., January 2020 - October 2020
- iSchedule, a preference aware scheduling system. Responsible for designing RESTful API, database schema and core scheduling solver
- Anomaly detection system with Deep Metric Learning
- Develop deep learning model with PyTroch and PyTorch-Lightning
- Consulting service. Including Spark pipeline optimization, deep learning model development and general Python/C++ development
Machine Learning Engineer, Pinkoi Inc., December 2017 - December 2019
- Recommendation System, including item-based/store-based recommendation, keyword suggestion, making significant improvement on recommendation quality and coverage.
- Machine Learning Algorithm Design
- Data Pipeline, including on-site advertising and internal BI reporting with Apache Airflow.
- Design and maintain automatic testing scheme
- Database optimization for accelerating internal BI reporting system by 50% (query time drops from approximately 2 mins to less than 1 min on average)
- https://www.pinkoi.com/
R&D Engineer, Speed 3D Inc., July 2015 - June 2017
- SDK Development (iOS, Android with Unity 3D)
- Backend Server Maintenance
- Algorithm Design
- http://www.spe3d.co
Co-Founder, 木刻思, June 2014 - June 2015
- General Affairs
- Recommendation Engine Maitenance
- https://data-sci.info
Research Assistant, National Taiwan University, June 2012 - June 2014
- Econometric Model Simulation
Projects (Selected)
- utensor_cgen and uTensor
- uTensor: A neural network inference library for MCU
- utensor_cgen: C++ code generator for uTensor
- https://github.com/uTensor/uTensor
- https://github.com/uTensor/utensor_cgen
- Insta3D
- Boosting backend resource utilization rate up by more than 60%
- Reduce significant backend server cost
- Talkii
- Responsible for Lip-syncing algorithm design
- Demo
- Insta3D Gifmoji
- Responsible for new avatar generating algorithm
- Accommodate Edge-Computing architecture
- Saving more than 50% cloud computing cost
- pypeup (GitHub)
- Library for building pipeline in a functional fashion
Talks
- PyData Taipei 2020
- DevFest 2020 Taipei Speaker (Room 4)
- COSCUP 2020 Speaker (Julia Track)
- COSCUP 2018 Speaker (uTensor)
- Speaker at 台灣資料愛好者年會 2014
- Hosting R Basic tutorial session
- MLDM Mondy
- CocoaHeads Taipei
- It's a talk about how to design and integrate C++ frameworks with Swift, with Objective-C++.
- EdgeMe Demo
Skill Sets
Python
Scientific computing and data visualization, including Tensorflow, PyTorch, numpy, scipy and matplotlib. Experience with RESTful API development using Flask and FastAPI.
C++
Familiar with OpenCV basic data structures such as Mat in addition to basic and advanced image processing API.
Building external library for python with pybind11
PySpark / Spark
Proficiency in Spark SQL for building efficient data processing pipeline. Experience in both integrating Python ML libraries with PySpark such as distributed hyperparameters search.
Apache Airflow
Familiar with the API for managing complex tasks scheduling and pipelines management
GCP DataProc, BigQuery
Working knowledge on GCP DataProc and BigQuery for building/tuning Spark Cluster and building large scale data warehouse with BigQuery
Tensorflow / PyTorch
Deep understanding of Tensorflow / PyTorch frameworks. Proficiency in designing tools and models based on these frameworks.
Apache Kafka
Proficiency in building streaming processing pipelines with Apache Kafka.
Education
M.S, Economics, National Taiwan University, 2011
Graduated in the top 5% of the class