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More than 15 years
國立台灣大學
Algorithm Research & Development @TG3D Studio2021 ~ Present
・
Software Engineer
Within one month
2020 Conducted 2D and 3D Object Detection Model Training and Optimization Conducted Traffic Light Recognition Model Training and Optimization Handled the Development of Inference Model with CUDA Library Coordinated the Integration and Implementation of Perception System in Apollo Environment Face Recognition JanSep 2018 Built up Image Collection System Evaluated the Performance of Inference Models Assisted in System Integration with Inference Model API Skills Programming Python: Pytorch, TensorFlow, OpenCV, Pika C/C++: CUDA, TensorRT Linux OS Docker Git AI: Deep Learning Familiar with Pytorch framework Have TensorFlow framework development experience Have TensorRT library development ex...
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
生物產業機電工程所
Software Developer @新代科技股份有限公司 Syntec Ltd.2021 ~ Present
・
Software Engineer
Within one month
Min-Hsien (Sam) Lee Software Engineer & Software Developer [email protected]/in/ samonkeys About I am a dedicated software engineer with experience in both R&D and product teams, committed to delivering high-quality software solutions. I am also a quick and motivated learner, always trying to find creative solutions for real life problems. Experience Software Developer • Syntec ( Product Team ) Jan~ Present CAD/CAM Software development using C# and C++, including: Panel Saw Software: Product started selling inCutting Path Planner Software: Product started selling inDrilling Machine Software: Product
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
機械工程
AI 技術組長 @衛武資訊股份有限公司2024 ~ Present
・
前端工程師、後端工程師、全端工程師
Within one month
曾柏硯 從高中開始，我便持續自學網頁開發，至今已有４年前端工作經驗．１年前因現職工作需求，開始涉獵後端，作為全端工程師，同時負責前後端的開發。前端方面主要使用 Vue.js 和 Nuxt.js 進行開發。而後端方面則採用 .NET Core 搭配 MySQL。 在目前的
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
土木工程研究所交通組
Active
Active
AI/Prompt Engineer @Empathia.ai2022 ~ Present
・
Machine Learning Engineer
Within one month
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., NovemberJuly 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
Employed
Full-time / Interested in working remotely
6-10 years
國立台灣大學
・
經濟學
Unemployed
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
光電工程學研究所Engineering Leader @FARobot / 法博智能移動股份有限公司2023 ~ Present
・
全端/後端工程師
Within two months
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
國立台灣大學
・
土木工程學系電腦輔助工程組Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
國立台灣大學
・
物理研究所
Past
Freelancer @Freelance2016 ~ Present
・
資深工程師，技術主管
More than one year
許哲睿 Hsu, [email protected] Kaohsiung City, Taiwan WORK EXPERIENCE Senior full stack engineer • iMarts AI Technology co ltd. OCTJULThe product is a travel information platform. Backend services on AWS lambda using Python, MySQL Redesign the main architecture of the backend service and DB schemas. Create boilerplates for new services. Backend services on Microsoft Azure Kubernetes Service using Golang, PostgreSQL, Docker Product manager and contact window for outsourced projects. The only employee in Kaohsiung. Go to the Taipei office every Monday. https://www.imarts.
Unemployed
・
Not open to opportunities
Full-time / Interested in working remotely
10-15 years
國立台灣大學
・
資訊網路與多媒體研究所
系統工程師 @漢翔航空工業股份有限公司2016 ~ Present
・
Engineer
More than one year
Cai-Syuan (Sally) Chang Hi, I am a 5-year-experienced project/system engineer for the aircraft engine starting system in Aerospace Industrial Development Corporation (AIDC). In this role, I am responsible for the design, development, integration and qualification of the engine starting system and directing the engine/aircraft integration and ground/flight test program. I also have extensive experience in mechanical design, 2D/3D CAD, system performance analysis, system testing, international procurement and international supplier coordination. Taichung, [email protected] Cai-syuan (Sally) Chang Work Experience System Engineer
Employed
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
機械工程學系
後端工程師 @宇匯知識科技2017 ~ Present
・
後端工程師
Within one year
role based control for enterprises. – Build all your service within Docker. 訊連科技股份有限公司, 軟體工程師, Oct 2014 ~ Aug 2017 Software Engineer - Magic Team (Junior and Senior) • Implement virtual makeup effects on mobile phone — development algorithm engine using C++ – Design virtual makeup effects using image processing algorithms, such as contrast enhancement, Gaus-sian smoothing, different color blending strategy, etc. – Optimize the process using multi-threads and SIMD (NEON) on mobile device. • Rendering virtual makeup effects on views using OpenGL and WebGL. – Develop the
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
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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, MobLab Inc., 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, MobLab Inc., 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