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國立台灣大學
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Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
2021 ~ Presente
Software Engineer
En un mes
Python
AI & Machine Learning
Image Processing
Empleado
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
國立台灣大學
生物產業機電工程所
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Principal Engineer @Coretronic Corporation, 中強光電
2020 ~ 2022
Machine Learning Engineer
En un mes
Yin Chen, Liao (廖尹禎) [email protected] 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 JulyJuly 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
Python
Linux
C++
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A tiempo completo / Interesado en trabajar a distancia
6-10 años
國立台灣大學
經濟學
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演算法開發工程師 @亞迪電子
2020 ~ Presente
AI 深度學習 軟體開發
Más de un año
脈衝雷射光源 共軛焦顯微鏡 雙光子螢光顯微鏡 二倍頻顯微鏡 干涉式顯微鏡 牛頓式天文望遠鏡 程式語言 C C++ Assembly Python TensorFlow/Keras PyTorch OpenCV Shell Matlab LabVIEW VBA 演算法 數位音訊/影像處理 傅立葉分析 IIR/FIR filter:全通濾波、希爾伯特轉換、等化器 動態範圍壓縮 亂
C++ and C
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Python
Empleado
No está abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
6-10 años
國立台灣大學
物理研究所

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中央研究院資訊科技創新研究中心
2017 ~ 2020
台灣台北
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前端工程師/網頁工程師
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台灣台北
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Freelance
Sí, soy un autónomo amateur.
Educación
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國立台灣大學
Mayor
經濟
Imprimir

陳威政, Jimmy

Job Title

  Taipei, Taiwan

Incoming MET student at CMU ETC | Seeking for 2021 intern for software engineering and game development

      http://www.jimmyweicc.com/

工作經歷


研究助理

中央研究院資訊科技創新研究中心

一月 2017 - 七月 2020
Taipei, Taiwan

"Understanding User Behavior in a Cross-domain Scenario"
1. Establish a query suggestion system analyzing users’ behavior of when they changed browsing domains
2. Design and implement a critical ingestion pipeline to process over 5 TB of e-commerce data from Verizon Media using Spark and Pandas
3. Develop novel embedding mechanism which collects time-/cross- domain features and conducted experiments via deep learning framework (RNN-based, Attention) using TensorFlow and PyTorch

"Query Forecasting: Identifying Critical Learning Queries"
1. Analyzed data from Verizon Media’s e-commerce platform, which has millions of active users, and constructed a pipeline to analyze the textual embedding using Python, Shell scripts, and established modeling tools
2. Proposed and constructed a quasi-attention deep learning framework with TensorFlow, aiming to perceive customers’ purchasing intention. Simulation results verified the superiority of the proposed method

"Foresight Research and Its Application in Financial Technology Industry"
1. Utilized Twitter content, technical analysis, and Natural Language Processing (NLP) to analyze US stock market
2. Implemented machine learning algorithms to classify market sentiment using Python and SQL

學歷


國立台灣大學

經濟

2011 - 2015

Resume
Perfil

陳威政, Jimmy

Job Title

  Taipei, Taiwan

Incoming MET student at CMU ETC | Seeking for 2021 intern for software engineering and game development

      http://www.jimmyweicc.com/

工作經歷


研究助理

中央研究院資訊科技創新研究中心

一月 2017 - 七月 2020
Taipei, Taiwan

"Understanding User Behavior in a Cross-domain Scenario"
1. Establish a query suggestion system analyzing users’ behavior of when they changed browsing domains
2. Design and implement a critical ingestion pipeline to process over 5 TB of e-commerce data from Verizon Media using Spark and Pandas
3. Develop novel embedding mechanism which collects time-/cross- domain features and conducted experiments via deep learning framework (RNN-based, Attention) using TensorFlow and PyTorch

"Query Forecasting: Identifying Critical Learning Queries"
1. Analyzed data from Verizon Media’s e-commerce platform, which has millions of active users, and constructed a pipeline to analyze the textual embedding using Python, Shell scripts, and established modeling tools
2. Proposed and constructed a quasi-attention deep learning framework with TensorFlow, aiming to perceive customers’ purchasing intention. Simulation results verified the superiority of the proposed method

"Foresight Research and Its Application in Financial Technology Industry"
1. Utilized Twitter content, technical analysis, and Natural Language Processing (NLP) to analyze US stock market
2. Implemented machine learning algorithms to classify market sentiment using Python and SQL

學歷


國立台灣大學

經濟

2011 - 2015