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Manager @GOMAJI 夠麻吉2017 ~ Sekarang
・
Project Lead / Tech Lead / Team Lead / Technical Manager
Dalam satu bulan
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
10-15 tahun
Shih Hsin University
・
Management Information Systems, General
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ Sekarang
・
Software Engineer
Dalam satu bulan
margin of less than 3 cm. Computer Vision Body Reconstruction Stable Diffusion DApp: Exercise Classification Implemented real-time activity recognition for specified exercises, including but not limited to push-ups and squats, enabling accurate tracking and analysis of workout routines. Skeleton Detection Motion Classification Body AI: 3D Body Data Analysis Engage in a variety of AI side projects focused on leveraging 3D body data, encompassing tasks such as Body ID Recognition, Body Measurements Prediction, and Body Shape Classification. Mesh Data Processing Body Modulization: SMPL Project Engineer • Acer Inc. JanMay 2021 Working in research and development (RND
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
國立台灣大學
・
生物產業機電工程所
經理 @鴻博資訊有限公司2015 ~ Sekarang
・
軟體工程師、電玩程式設計師、後端工程師、APP開發工程師、演算法開發工程師
Dalam satu bulan
of machine learning that I have researched and become familiar with over the past year: Numpy (Numerical Computing Library) : Numpy is one of the core libraries for numerical computing in Python. It provides powerful mathematical functions and array operations, capable of handling multidimensional arrays and matrix operations. In data processing and analysis, Numpy is an indispensable tool for efficiently handling large amounts of data. Pandas (Data Analysis Library) : Pandas is an important library in Python for data analysis and data processing. It offers powerful data structures such as DataFrame and Series, making data reading, manipulation, and
Sudah bekerja
・
Siap untuk wawancara
Full-time / Hanya bekerja jarak jauh
10-15 tahun
崑工科技大學
・
電子工程
Past
資訊工程師 @六點資訊科技有限公司2023 ~ 2024
・
軟體工程師
Dalam satu bulan
Sean Wang Hello, I'm Sean. With over 9 years of extensive experience in software development, I excel in employing divergent thinking to address abstract client requirements and tackle various implementation challenges within systems. I specialize in integrating diverse user contexts and crafting solutions based on available resources. I enjoy analyzing the essence of things through multidimensional observation. New Taipei City, [email protected] Academic qualifications 2008//06 Chihlee University of Technology Information management Bachelor's graduation 2005//06 Ger Jyh Senior High School Data Processing Department Vocational
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
致理科技大學 Chihlee University of Technology
・
Information Management
OPC Chief Engineer @TSMC2020 ~ Sekarang
・
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
Dalam satu bulan
in photomask manufacturing, significantly improving product quality and reducing turnaround time. ◆Managed large-scale data processing tasks, demonstrating expertise in analyzing and handling datasets of hundreds of millions, to bolster model development and optimization. ◆Excelled in distributed computing, optimizing code execution across thousands of systems to significantly improve processing speed and efficiency. ◆Developed sophisticated data visualization tools to distill complex datasets into actionable insights, aiding strategic decision-making. The University of Tokyo, Foreign Researcher (OctSep◆Pioneered a neural network-based approach for cell image classification and data visualization, enhancing lab capabilities in biological research. ◆Designed a
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
National Chiao-Tung University
・
Ph.D. - Clinical EngineeringAsset & Facilities Management Officer @PT Dirgantara Indonesia (Indonesian Aerospace)2018 ~ Sekarang
・
Data Analyst, Budget/Cost Controller, Performance Management
Dalam satu bulan
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
Universitas Widyatama
・
Business Management - Finance
Data Engineer @Groundhog Technologies Inc.2021 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Dalam satu bulan
Vel Tien-Yun Wu I bring 5 years of hands-on experience in data engineering and software development, with a focus on building scalable data processing systems utilizing Hadoop, Spark, Kafka and Docker. My expertise in developing efficient ETL pipelines has been fundamental in optimizing data workflows for various data warehouses, enhancing data integrity and availability. My track record includes managing high-volume data pipelines, automating scheduling processes to improve operational efficiency, and deploying monitoring solutions that have reduced Mean-Time-To-Repair (MTTR) by 40%. I have a strong foundation in SQL, especially PostgreSQL, which enables
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
University of Illinois at Urbana-Champaign, School of Information Sciences
・
Information Management
Past
Mobile App Developer @Apple Inc.2014 ~ Sekarang
・
Lead Infrastructure Engineer
Dalam dua bulan
for performance and scalability. Developed databases that supported Web applications and Web sites. Developed system interaction and sequence diagrams. Big Data Engineer • Freelancer JuneJuly 2023 Built machine learning models using TensorFlow and Scikit-Learn libraries for predictive analysis of customer behavior. Designed and implemented a scalable data warehouse architecture using Apache Cassandra, PostgresDB, and Redis. Optimized database performance by tuning queries in SQL Server, Oracle and PostgreSQL databases. Implemented efficient data processing algorithms on large datasets with Apache Spark, MapReduce, and Pandas Python. Created dashboards in Tableau Desktop Professional Edition to visualize complex
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
Front-End / Back-End / Full Stack Web Developer
Dalam tiga bulan
Tidak bekerja
・
Siap untuk wawancara
Full-time / Hanya bekerja jarak jauh
6-10 tahun
The University of Hong Kong
・
Computer Engineering
Past
Lead Data Scientist / Senior Data Scientist @Vinnovation Network 維諾森資訊科技2022 ~ 2023
・
資料科學家、資料科學工程師、機器學習工程師
Dalam satu bulan
in Data Analysis, Machine Learning and Deep Learning, familiar with Modeling, Data Analysis, Image Processing, Machine Learning, and Deep Learning. Taipei City, Taiwan WORK EXPERIENCE Lead Data Scientist / Full Stack Data Scientist, Vinnovation Network, Taipei, Taiwan Data Engineering / Data Analysis Spearheaded the development of a fully automated data integration pipeline that aggregated diverse data sets into a S3 Data Lake. Successfully integrated a range of data sources, including real-time data feeds from AWS Redshift and DocumentDB, as well as batch processes to import traditional CSV files. Utilized Databricks for large-scale data processing, leveraging
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
台灣大學
・
大氣科學所Paket Perekrutan Paling Mudah dan Efektif, Pilihan Ratusan Perusahaan
Cari lebih dari 800 ribu CV dan ambil aksi menghubungi pelamar kerja untuk rekrutmen yang lebih efektif. Pilihan ratusan perusahaan.
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Technical Skills
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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
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Latar Belakang Profesional
Status sekarang
Sudah bekerja
Tahap pencarian kerja
Profesi
Market Finance
Bidang Pekerjaan
Software
Pengalaman Kerja
2-4 tahun pengalaman kerja (4-6 tahun relevan)
Management
Keterampilan
Bahasa
Chinese
・
Bahasa ibu atau Bilingual
English
・
Menengah
Japanese
・
Pemula
Preferensi Pencarian Pekerjaan
Jabatan
Financial Analyst
Tipe Pekerjaan
Full-time
Lokasi
香港, Canada, Singapore
Bekerja jarak jauh
Tertarik bekerja jarak jauh
Freelance
Ya, saya adalah freelancer amatir.
Pendidikan
Institusi Pendidikan
private chinese culture university
Jurusan
electronic engineering
Yu Chang, Huang
黃郁璋，Quantitative Analyst，Taiwan，Taipei
[email protected]
As a quantitative researcher with a strong foundation in programming and data analysis, I am passionate about leveraging technology to drive financial innovation and efficiency. Specializing in the cryptocurrency market, I aim to contribute my extensive programming skills to develop sophisticated trading algorithms and systems.
COMPETENCIES
Data analysis Tools
- Multicharts - backtesting software
- MetaTrader4
- Tradingview
Trading Experience
- Taiwan Futures, Options
- Crypto currency ETF
- Binance API, interactive brokers API
Python
crawler, fastapi, pymongo, pandas, thread, asyncio, pikaTools / Development
Mysql. rabbitMQ, mongoDB, GitLab, Jira, LinuxExtra skills: C#, Go
Work Experience
Software Engineer at QTK Investment. , May 2023 - Present
- Developed a trading signal subscription Telegram bot, built RESTful API services using FastAPI, enabling users to subscribe and receive signals through Telegram.
- Managed concurrent data processing from multiple data sources using Python’s asynchronous programming (asyncio), effectively handling high-concurrency data streams to ensure timeliness and responsiveness.
- Utilized MongoDB Atlas for the cloud database, meticulously designed DB schema and regularly scheduled cron jobs to automatically update and maintain data consistency and reliability.
- Developed cryptocurrency copy trading systems and term arbitrage strategies:
- Implemented term arbitrage strategies using WebSocket technology to monitor market quotes in real-time, significantly enhancing the speed of data updates and system response compared to traditional polling methods.
- Processed time-series data using pandas to accurately analyze and predict market trends, dynamically adjusting trading algorithms to optimize the risk and return of investment portfolios.
Quantitative Researcher at Algoreality. , Jan 2021- Dec 2022
- Designed a grid trading robot using Python multithreading technology and asyncio for efficient asynchronous calls to the Binance API, significantly enhancing the execution speed of trading commands and the overall system responsiveness.
- Integrated RabbitMQ messaging queues to establish an efficient order processing mechanism, ensuring stability and reliability in a high-frequency trading environment while reducing system latency.
- Adopted a dynamic grid strategy, dynamically adjusting grid size and trading intervals by analyzing market data in real time, optimizing the strategy's profitability and adaptability to market changes.
- Developed cryptocurrency trading strategies, tightly integrated MultiCharts with Python for rapid development and precise backtesting of complex strategies through robust data analysis and processing capabilities.
- Utilized advanced data analysis techniques, such as time-series analysis, to perform in-depth studies of the cryptocurrency market, thereby designing trading models with high predictive accuracy.
- Continuously optimized and adjusted strategies, successfully managed 1M USDT of funds, achieving stable returns under fluctuating market conditions.
Quantitative Researcher at CryptoVix. , Apr 2020- Dec 2020
- Designed and implemented CTA strategies for the cryptocurrency market using MultiCharts, effectively capturing market trends and price fluctuations for steady profits.
- Integrated advanced technical analysis and quantitative models, enhancing strategy predictive accuracy and trading efficiency through various indicators and algorithms such as Moving Averages (MA), Relative Strength Index (RSI), and machine learning prediction models.
- Developed a flexible backtesting framework using Python, supporting custom strategy parameter adjustments and historical data analysis to quickly evaluate strategy performance and risks.
- Conducted comprehensive performance analysis including Sharpe ratio, maximum drawdown, and profit-loss ratio to ensure strategy stability and reliability under different market conditions.
- Combined real-time data streams and historical backtesting results for continuous strategy adjustments and optimizations to cope with the high volatility and uncertainty of the cryptocurrency market.
Software Engineer at ANVO. , Feb 2018- Dec 2019
- Developed a comprehensive accounting system using C#, tailored to the needs of the finance department, providing efficient accounting and financial reporting capabilities. This system supported the automatic organization and categorization of financial data, greatly enhancing the accuracy and efficiency of financial audits.
- Implemented a flexible reporting template that allowed users to customize financial reports according to specific needs, increasing the system's flexibility.
- Developed an automated financial news collection system using Python, aggregating the latest market information and financial news from major exchanges and financial news websites. This system utilized efficient web crawling technologies and data parsing algorithms to ensure the timeliness and accuracy of the information.
Software Engineer at GuideDesign Studio., Sep 2016 - Feb 2018
- Led the development of a customized inventory management system, using C# as the primary development language. This system automated internal resource management, including financial management, inventory management, and customer data management.
- Utilized C# and Open AI toolkit to develop advanced natural language processing features, automatically organizing and analyzing user consumption details, enhancing the efficiency and accuracy of data processing.
- Successfully integrated the ERP system with front-end POS machines, automating the sales process from consumption details to receipt output, significantly speeding up transaction processing and enhancing customer checkout convenience.
- Developed an interface that allowed the ERP system to directly call the Microsoft Word suite to automatically generate formatted receipts based on consumption details and print them through the POS machine, greatly improving work efficiency and customer satisfaction.
- Designed and implemented a user-friendly GUI (Graphical User Interface), enabling non-technical staff to easily operate the ERP system, increasing system usage rates and improving enterprise work efficiency.
- Managed the database using MySQL, optimizing the data storage structure to ensure efficient data access and security, supporting the data needs of enterprise operations.
- Specialized in developing highly customized trading strategies using the MQL4 language, designed and implemented automated trading algorithms tailored to different market conditions and trading styles. These strategies automatically adjusted parameters during market fluctuations to maximize profits and control risks.
- Conducted in-depth performance optimization for MT4 strategies, ensuring algorithm stability and low-latency execution in a high-frequency trading environment. Additionally, provided robust backend support for strategies, including data analysis, strategy backtesting, and real-time monitoring, ensuring that the trading systems were effective under various market conditions.
Yu Chang, Huang
黃郁璋，Quantitative Analyst，Taiwan，Taipei
[email protected]
As a quantitative researcher with a strong foundation in programming and data analysis, I am passionate about leveraging technology to drive financial innovation and efficiency. Specializing in the cryptocurrency market, I aim to contribute my extensive programming skills to develop sophisticated trading algorithms and systems.
COMPETENCIES
Data analysis Tools
- Multicharts - backtesting software
- MetaTrader4
- Tradingview
Trading Experience
- Taiwan Futures, Options
- Crypto currency ETF
- Binance API, interactive brokers API
Python
crawler, fastapi, pymongo, pandas, thread, asyncio, pikaTools / Development
Mysql. rabbitMQ, mongoDB, GitLab, Jira, LinuxExtra skills: C#, Go
Work Experience
Software Engineer at QTK Investment. , May 2023 - Present
- Developed a trading signal subscription Telegram bot, built RESTful API services using FastAPI, enabling users to subscribe and receive signals through Telegram.
- Managed concurrent data processing from multiple data sources using Python’s asynchronous programming (asyncio), effectively handling high-concurrency data streams to ensure timeliness and responsiveness.
- Utilized MongoDB Atlas for the cloud database, meticulously designed DB schema and regularly scheduled cron jobs to automatically update and maintain data consistency and reliability.
- Developed cryptocurrency copy trading systems and term arbitrage strategies:
- Implemented term arbitrage strategies using WebSocket technology to monitor market quotes in real-time, significantly enhancing the speed of data updates and system response compared to traditional polling methods.
- Processed time-series data using pandas to accurately analyze and predict market trends, dynamically adjusting trading algorithms to optimize the risk and return of investment portfolios.
Quantitative Researcher at Algoreality. , Jan 2021- Dec 2022
- Designed a grid trading robot using Python multithreading technology and asyncio for efficient asynchronous calls to the Binance API, significantly enhancing the execution speed of trading commands and the overall system responsiveness.
- Integrated RabbitMQ messaging queues to establish an efficient order processing mechanism, ensuring stability and reliability in a high-frequency trading environment while reducing system latency.
- Adopted a dynamic grid strategy, dynamically adjusting grid size and trading intervals by analyzing market data in real time, optimizing the strategy's profitability and adaptability to market changes.
- Developed cryptocurrency trading strategies, tightly integrated MultiCharts with Python for rapid development and precise backtesting of complex strategies through robust data analysis and processing capabilities.
- Utilized advanced data analysis techniques, such as time-series analysis, to perform in-depth studies of the cryptocurrency market, thereby designing trading models with high predictive accuracy.
- Continuously optimized and adjusted strategies, successfully managed 1M USDT of funds, achieving stable returns under fluctuating market conditions.
Quantitative Researcher at CryptoVix. , Apr 2020- Dec 2020
- Designed and implemented CTA strategies for the cryptocurrency market using MultiCharts, effectively capturing market trends and price fluctuations for steady profits.
- Integrated advanced technical analysis and quantitative models, enhancing strategy predictive accuracy and trading efficiency through various indicators and algorithms such as Moving Averages (MA), Relative Strength Index (RSI), and machine learning prediction models.
- Developed a flexible backtesting framework using Python, supporting custom strategy parameter adjustments and historical data analysis to quickly evaluate strategy performance and risks.
- Conducted comprehensive performance analysis including Sharpe ratio, maximum drawdown, and profit-loss ratio to ensure strategy stability and reliability under different market conditions.
- Combined real-time data streams and historical backtesting results for continuous strategy adjustments and optimizations to cope with the high volatility and uncertainty of the cryptocurrency market.
Software Engineer at ANVO. , Feb 2018- Dec 2019
- Developed a comprehensive accounting system using C#, tailored to the needs of the finance department, providing efficient accounting and financial reporting capabilities. This system supported the automatic organization and categorization of financial data, greatly enhancing the accuracy and efficiency of financial audits.
- Implemented a flexible reporting template that allowed users to customize financial reports according to specific needs, increasing the system's flexibility.
- Developed an automated financial news collection system using Python, aggregating the latest market information and financial news from major exchanges and financial news websites. This system utilized efficient web crawling technologies and data parsing algorithms to ensure the timeliness and accuracy of the information.
Software Engineer at GuideDesign Studio., Sep 2016 - Feb 2018
- Led the development of a customized inventory management system, using C# as the primary development language. This system automated internal resource management, including financial management, inventory management, and customer data management.
- Utilized C# and Open AI toolkit to develop advanced natural language processing features, automatically organizing and analyzing user consumption details, enhancing the efficiency and accuracy of data processing.
- Successfully integrated the ERP system with front-end POS machines, automating the sales process from consumption details to receipt output, significantly speeding up transaction processing and enhancing customer checkout convenience.
- Developed an interface that allowed the ERP system to directly call the Microsoft Word suite to automatically generate formatted receipts based on consumption details and print them through the POS machine, greatly improving work efficiency and customer satisfaction.
- Designed and implemented a user-friendly GUI (Graphical User Interface), enabling non-technical staff to easily operate the ERP system, increasing system usage rates and improving enterprise work efficiency.
- Managed the database using MySQL, optimizing the data storage structure to ensure efficient data access and security, supporting the data needs of enterprise operations.
- Specialized in developing highly customized trading strategies using the MQL4 language, designed and implemented automated trading algorithms tailored to different market conditions and trading styles. These strategies automatically adjusted parameters during market fluctuations to maximize profits and control risks.
- Conducted in-depth performance optimization for MT4 strategies, ensuring algorithm stability and low-latency execution in a high-frequency trading environment. Additionally, provided robust backend support for strategies, including data analysis, strategy backtesting, and real-time monitoring, ensuring that the trading systems were effective under various market conditions.