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4-6 years
6-10 years
10-15 years
More than 15 years
Data Science Competition Participant @Self-Employed2020 ~ Present
・
資料科學家
Within one month
Studying
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National University of Singapore
・
Department of building
Past
Frontend Engineering Manager, Data Science @Vpon Big Data Group2022 ~ 2023
・
Frontend Engineer, Full Stack Engineer
Within one month
pipeline with Github Actions to enforce Git Flow, ensuring product stability. 5. Utilized Jest, Cypress, and Mocks Server for comprehensive testing, ensuring product stability. Sr. Frontend Engineer, Data Science • Vpon Big Data Group MayFebruary 2022 | Taipei, Taiwan 1. Developed a large-scale data platform with data visualization and segmented downloads from scratch. 2. Utilized deck.gl and vector tiles to accurately present geographical data of millions of travelers online. 3. Developed a React UI Library with tree select, virtual table, and data chart components for large-scale data presentation.
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
YZU University (元智大學)
・
Information CommunicationPast
博士後研究員 @洛桑大學神經發育疾病實驗室2023 ~ 2023
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
洛桑聯邦理工學院(EPFL)
・
神經科學Past
Data Engineer @Rooit Inc. (XO App)2023 ~ 2023
・
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 one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
中國醫藥大學(China Medical University)
・
臨床醫學研究所
老闆 @歐趴飲料店2012 ~ 2018
・
AIOT開發工程師
Within one month
賴泳瑄(Aimons) Software [email protected] 大家好，我在大學期間創業開設飲料店持續經營5年，曾經同時管理2間店與12位工讀生，後來因為對於資訊的興趣繼續讀碩士，在碩士期間研究並學習AI與各種語言工具配合過5個科技部計畫，畢業後在東海擔任兼
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Tunghai University
・
資訊
OPC Chief Engineer @TSMC2020 ~ 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 one month
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 user-friendly GUI for neural network model
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chiao-Tung University
・
Ph.D. - Clinical Engineering
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 one month
Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow, Git, Docker, Jenkins, Line Bot , Azure Bot Service, Tableau ML & NLP Techniques: LMOps, RAG, Fine-tune LLMs, Text Generation, Multi-Document Summarization, Recommendation System, Text Classification, Named Entity Recognition, CoT Research and Work Experience Research Assistant OctPresent Institute of Information Science, Academia Sinica, Taiwan Natural Language and Knowledge Processing Lab (NLP Lab) National Taiwan University Hospital (NTUH): Focused on exploring the generality and expertise of LLMs ( e.g., LLaMA2, Zephyr. ) in medical Q&A applications, improving model performance by 2.01% . Efficiency Optimization: Utilized Low
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
資訊科學系
資深管理師 @群聯電子 PHISON Electronics2020 ~ Present
・
Within one month
CHUN-HSIEN (TEDDY) LIN E-mail: [email protected] Tel:South Dist., Taichung City, Taiwan (R.O.C.) My name is Teddy Lin, and I come from Miaoli, Taiwan. I am 39 years old and hold three master's degrees. I specialized in Industrial Management at Chung Hua University in Taiwan, Environmental Science and Management at Samford University in the United States, and Computer Science at National Chung Hsing University in Taiwan. Currently, I am pursuing a Ph.D. in Data Science and Engineering at National Yang Ming Chiao
Employed
・
Ready to interview
Full-time / Interested in working remotely
More than 15 years
National Yang Ming Chiao Tung University
・
Institute of Computer Science and Engineering
Consultant @Startup2023 ~ 2024
・
Pre-sales/PM/Business Consultant/Business Analyst/System Analyst
Within one month
戶觀察與深度訪談 • 透過線上線下顧客行為分析，驗證市場機會 • 個案研究與產業趨勢分析 • 整合內部資料與台灣政府的 Open data，自動化業務開發環節 • 透過 Tableau Server 建置公司資料倉庫 • 使用 Python 和 Tableau Prep 自動化 ETL，建立datapineline • 領導 A/B 測試設計與執行 Data Science 專
Employed
・
Ready to interview
Full-time / Not interested in working remotely
4-6 years
Fu Jen Catholic University
・
Brand and Fashion Management
Past
Electrical Maintenance @PT. Pabrik Kertas Tjiwi Kimia Tbk.2021 ~ 2023
・
Engineer
Within one month
in preparation for when there is a tool has problem or automation project Education Politeknik Perkapalan Negeri Surabaya Automation Engineering,GPASkill Preventive Maintenance ( Preparing weekly, monthly summary, and exception reports ) AC / DC Drive Wiring Diagram ( AUTOCAD, EPLAN P8 Electrical ) PLC and HMI Programming SCADA, Power Inverter Project and People Management Electrical Troubleshooting Computerized Maintenance Management Systems (CMMS) Data Analysis and Visualization Machine Learning Certification Data Science and Machine Learning - Purwadhika Digital Technology SchoolPurwadhikaSystem 800xA with AC 800M Hardware Maintenance and Troubleshooting - ABBInstrument Inspector level 2 - Inspector TrainingInstrument Inspector level 1 - Inspector TrainingPLC Intermediate Engineer - PPNSIndustrial Automation System Design - BNSP
Unemployed
・
Ready to interview
Full-time / Not interested in working remotely
4-6 years
Politeknik Perkapalan Negeri Surabaya
・
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Within three months
Digital Signal Processing Engineer | Software Developer | Open to Diverse Opportunities
Wistron Neweb Corporation
・
2016 ~ Present
Professional Background
Current status
Unemployed
Job Search Progress
Ready to interview
Professions
Electronics Engineer, Other, Project Engineer
Fields of Employment
Software, Consumer Electronics
Work experience
6-10 years
Management
None
Skills
Languages
English
・
Professional
Chinese
・
Beginner
Hindi
・
Fluent
Nepali
・
Native or Bilingual
Job search preferences
Positions
Signal processing engineer
Job types
Full-time
Locations
Remote
Interested in working remotely
Freelance
Educations
School
Emeritus
Major
Machine Learning
Modick Basnet
Taiwan
[email protected]
https://www.linkedin.com/in/modickbasnet
As a seasoned DSP engineer with over 7 years of experience, I have honed my skills to not only troubleshoot existing problems but also to innovate new solutions whenever the need arises. From my early days as a student to my current role as an Engineer at WNC, I've consistently applied the foundational skills I acquired to analyze and solve complex challenges.
My expertise extends beyond algorithm development and signal processing; I actively contribute to the design and optimization of integrated systems, performing key duties in system engineering. My involvement in link budget analysis ensures the seamless operation and optimal performance of communication systems.
Having patented two novel ideas—one granted and another pending—I am committed to pushing the boundaries of innovation. While my journey has been rooted in DSP, my interest in data science and machine learning has led me to pursue MOOC certifications in these domains. Although I haven't had the opportunity to apply these certifications in a professional setting, I am eager to transition and contribute my skills to the dynamic field of data science and machine learning.
I am enthusiastic about collaborating with professionals in this evolving field, sharpening my knowledge, and actively contributing to impactful projects. My goal is to leverage my diverse skill set, combining DSP expertise with data science and machine learning, to become proficient and make meaningful contributions to this exciting intersection.
Work Experience
Senior Software Engineer • Wistron Neweb Corporation
March 2016 - Present | Taipei, Taiwan
- • Lead role in software/firmware development and algorithm troubleshooting for RADAR applications, utilizing C programming.
• Troubleshoot and develop algorithms for RADAR applications, demonstrating expertise in DSP system design and simulation with Matlab / GNU Octave and Python.
• Played a key role in system engineering, actively participating in the design, implementation, and optimization of integrated systems
• Successfully patented two novel ideas, one granted in the Taiwan patent office and another pending submission to the US patent office.
• Collaborated with cross-functional teams to communicate system capabilities and performance to stakeholders, customers, and managers.
Key Achievements:
• Played a pivotal role in RADAR production.
• Developed and implemented algorithms for RADAR applications.
• Recognized for innovation with two patents—one granted and another in the submission process.
Education
Yuan-Ze University
Telecommunications Engineering • 2012 - 2016
Research Interests:
- Seaborne device motion compensation
- Self-optimization of LTE systems, including modulation/coding schemes, MIMO modes, transmit power control, and beamforming
- Signal-to-noise ratio (SINR) improvement
Research Activities:
- Developed an adaptive α-β-γ filter for sea vehicle motion compensation (published in JCIE, 2015)
- Implemented self-optimizing beamforming to improve SINR in LTE networks (published in IEICE Fundamentals, 2016)
- Improved pilot-aided channel estimation for MIMO-OFDM fading channels (published in IJAP, 2013)
- Investigated cognitive power saving control for intelligent mobile wireless networks (published in ISEEE, 2014)
Publications:
- J. Mar, M. B. Basnet and C.-C. Liu, “Sea vehicle motion compensation using adaptive α-β-γ filter”, in JCIE, 2015.
- M. Basnet and J. Mar, “Self-optimization Beam-forming Null Control Based SINR Improvement”, in the IEICE on Fundamentals, May. 2016, vol..E99-A, no.5.
- J. Mar, C. C. Kuo, Modick B. Basnet, “Improved Pilot-Aided Channel Estimation for MIMO-OFDM Fading Channels”, in IJAP 2013.
- J. Mar, M. B. Basnet, and K. P. Chao, "Cognitive power saving control for intelligent mobile wireless networks bandwidth in-vehicle channel measurements using chirp pulse sounding signal", ISEEE 2014, Sapporo.
Skills:
- MIMO
- Kalman filtering
- Digital Signal Processing
- Telecommunications Engineering
- C Programming
- Artificial Neural Networks
- LTE
- Matlab
- Signal Processing
Asian Institute of Technology
Information and Communications Technology • 2009 - 2012
- Thesis: "Equalization in VLC using Recurrent Neural Network"
- Focus Areas: Communications, Optimization, Visible Light Wireless Communications (VLC)
- Key Skills: FPGA, Verilog, Networking, Recurrent Neural Networks
- Additional Highlights:
- Project on Visible Light Wireless Communications (VLC) using FPGA and Verilog.
- Exchange student program at Yuan Ze University, Taiwan.
- Favorite subject: Optimization in Communication Networks.
Pokhara Vishwavidalaya
Electronics and Communications Engineering • 2002 - 2007
- Core Interest: Communication Engineering
- Relevant Courses: Mobile Communications, CDMA Technology, Communication Systems, Digital Signal Processing
- Final Project: Optimization of CDMA System Performance
- Investigated the impact of Code Rate, Bandwidth, and SNR on CDMA system performance.
- Proposed and implemented optimization techniques to improve system efficiency and capacity.
- Minor Project: Design and Implementation of LED-based Display System
- Developed a system using LEDs to display scrolling text.
- Gained experience in hardware design, programming, and embedded systems.
Additional Highlights:
- Dean's List of Pokhara Vishwavidalaya
Skills
- C/C++
- Matlab
- Signal Processing
- Digital Signal Processing Algorithms
- Radar
- Telecommunications Engineering
- Algorithm Development
Languages
- English — Professional
- Chinese — Beginner
- Hindi — Fluent
- Nepali — Native or Bilingual
Modick Basnet
Taiwan
[email protected]
https://www.linkedin.com/in/modickbasnet
As a seasoned DSP engineer with over 7 years of experience, I have honed my skills to not only troubleshoot existing problems but also to innovate new solutions whenever the need arises. From my early days as a student to my current role as an Engineer at WNC, I've consistently applied the foundational skills I acquired to analyze and solve complex challenges.
My expertise extends beyond algorithm development and signal processing; I actively contribute to the design and optimization of integrated systems, performing key duties in system engineering. My involvement in link budget analysis ensures the seamless operation and optimal performance of communication systems.
Having patented two novel ideas—one granted and another pending—I am committed to pushing the boundaries of innovation. While my journey has been rooted in DSP, my interest in data science and machine learning has led me to pursue MOOC certifications in these domains. Although I haven't had the opportunity to apply these certifications in a professional setting, I am eager to transition and contribute my skills to the dynamic field of data science and machine learning.
I am enthusiastic about collaborating with professionals in this evolving field, sharpening my knowledge, and actively contributing to impactful projects. My goal is to leverage my diverse skill set, combining DSP expertise with data science and machine learning, to become proficient and make meaningful contributions to this exciting intersection.
Work Experience
Senior Software Engineer • Wistron Neweb Corporation
March 2016 - Present | Taipei, Taiwan
- • Lead role in software/firmware development and algorithm troubleshooting for RADAR applications, utilizing C programming.
• Troubleshoot and develop algorithms for RADAR applications, demonstrating expertise in DSP system design and simulation with Matlab / GNU Octave and Python.
• Played a key role in system engineering, actively participating in the design, implementation, and optimization of integrated systems
• Successfully patented two novel ideas, one granted in the Taiwan patent office and another pending submission to the US patent office.
• Collaborated with cross-functional teams to communicate system capabilities and performance to stakeholders, customers, and managers.
Key Achievements:
• Played a pivotal role in RADAR production.
• Developed and implemented algorithms for RADAR applications.
• Recognized for innovation with two patents—one granted and another in the submission process.
Education
Yuan-Ze University
Telecommunications Engineering • 2012 - 2016
Research Interests:
- Seaborne device motion compensation
- Self-optimization of LTE systems, including modulation/coding schemes, MIMO modes, transmit power control, and beamforming
- Signal-to-noise ratio (SINR) improvement
Research Activities:
- Developed an adaptive α-β-γ filter for sea vehicle motion compensation (published in JCIE, 2015)
- Implemented self-optimizing beamforming to improve SINR in LTE networks (published in IEICE Fundamentals, 2016)
- Improved pilot-aided channel estimation for MIMO-OFDM fading channels (published in IJAP, 2013)
- Investigated cognitive power saving control for intelligent mobile wireless networks (published in ISEEE, 2014)
Publications:
- J. Mar, M. B. Basnet and C.-C. Liu, “Sea vehicle motion compensation using adaptive α-β-γ filter”, in JCIE, 2015.
- M. Basnet and J. Mar, “Self-optimization Beam-forming Null Control Based SINR Improvement”, in the IEICE on Fundamentals, May. 2016, vol..E99-A, no.5.
- J. Mar, C. C. Kuo, Modick B. Basnet, “Improved Pilot-Aided Channel Estimation for MIMO-OFDM Fading Channels”, in IJAP 2013.
- J. Mar, M. B. Basnet, and K. P. Chao, "Cognitive power saving control for intelligent mobile wireless networks bandwidth in-vehicle channel measurements using chirp pulse sounding signal", ISEEE 2014, Sapporo.
Skills:
- MIMO
- Kalman filtering
- Digital Signal Processing
- Telecommunications Engineering
- C Programming
- Artificial Neural Networks
- LTE
- Matlab
- Signal Processing
Asian Institute of Technology
Information and Communications Technology • 2009 - 2012
- Thesis: "Equalization in VLC using Recurrent Neural Network"
- Focus Areas: Communications, Optimization, Visible Light Wireless Communications (VLC)
- Key Skills: FPGA, Verilog, Networking, Recurrent Neural Networks
- Additional Highlights:
- Project on Visible Light Wireless Communications (VLC) using FPGA and Verilog.
- Exchange student program at Yuan Ze University, Taiwan.
- Favorite subject: Optimization in Communication Networks.
Pokhara Vishwavidalaya
Electronics and Communications Engineering • 2002 - 2007
- Core Interest: Communication Engineering
- Relevant Courses: Mobile Communications, CDMA Technology, Communication Systems, Digital Signal Processing
- Final Project: Optimization of CDMA System Performance
- Investigated the impact of Code Rate, Bandwidth, and SNR on CDMA system performance.
- Proposed and implemented optimization techniques to improve system efficiency and capacity.
- Minor Project: Design and Implementation of LED-based Display System
- Developed a system using LEDs to display scrolling text.
- Gained experience in hardware design, programming, and embedded systems.
Additional Highlights:
- Dean's List of Pokhara Vishwavidalaya
Skills
- C/C++
- Matlab
- Signal Processing
- Digital Signal Processing Algorithms
- Radar
- Telecommunications Engineering
- Algorithm Development
Languages
- English — Professional
- Chinese — Beginner
- Hindi — Fluent
- Nepali — Native or Bilingual