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Avatar of 林承葦.
Avatar of 林承葦.
Past
區塊鏈/資深後端工程師 @神兵資訊科技服務股份有限公司
2023 ~ 2024
後端工程師 區塊鏈工程師
Within one month
股份有限公司 區塊鏈 : 主導區塊鏈金融產品項目規劃、開發排程、風險評估及組織區塊鏈團隊。 深入了解 WalletConnect 及簽章/解簽章演算法。ex : 因 TrustWallet 在簽章訊息與解簽章訊息有 bug,進而了解 ECDSA 演算法。 使用 Hardhat 框架設計部署智能合約的流程。 ex : 預言機 、 ERC-20、ERC
c#
PHP
MySQL
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立雲林科技大學 National Yunlin University of Science and Technology
電機工程學系
Avatar of the user.
Avatar of the user.
軟體工程師 @光禾感知科技股份有限公司
2020 ~ Present
後端工程師/軟體工程師
Within one month
Backend Development
Computer Vision
Python
Employed
Ready to interview
Taiwan
Full-time / Interested in working remotely
4-6 years
國立勤益科技大學 National Chin Yi University of Technology
資訊工程
Avatar of the user.
Avatar of the user.
Past
資深全端工程師 @滾石移動股份有限公司
2024 ~ Present
前端工程師、後端工程師、全端工程師
Within one month
Java
spring
JavaScript
Unemployed
Ready to interview
Taiwan
Full-time / Interested in working remotely
4-6 years
Avatar of Kota Historika.
Avatar of Kota Historika.
Past
AI Specialist @Epic Caller AI
2023 ~ 2024
Software Engineer
Within one month
Kota Historika Senior Software Engineer I am an Software Engineer with a strong foundation in computer science and a passion for developing innovative and efficient technological solutions. I hold a Bachelor’s degree from Nagoya University, where I specialized in Computer Algorithms, Database Architecture, and Artificial Intelligence. With experience in designing and implementing scalable backend systems and integrating cutting-edge AI technologies, I excel at creating reliable, high-performance solutions that address real-world challenges. I am skilled in programming, problem-solving, and building systems that enhance user experiences and improve operational efficiency. Driven by curiosity
Java
C
C++
Unemployed
Ready to interview
United States・Vietnam・Taiwan・United Arab Emirates・Singapore・Hong Kong・Japan・Thailand・Saudi Arabia・China・Canada・Israel
Full-time / Remote Only
4-6 years
Nagoya University
Database Architecture, Computer Algorithm, Artificial Intelligence
Avatar of Rahmat Fauzan Algipari.
Avatar of Rahmat Fauzan Algipari.
Senior Software Engineer @Silentmode Sdn. Bhd
2024 ~ Present
Backend developer/Full-stack developer
Within one month
Linux server ecosystems for seamless front-end and back-end application support Crafted and optimized responsive front-end applications leveraging ReactJS and TypeScript Seamlessly integrated external APIs (SatuSehat, BPJS, E-Klaim) to expand application capabilities. Back End Developer • PT Oktagon Global Utama AgustusApril 2023 | Tangerang, Banten Main Responsibilities: Scaled backend infrastructure to accommodate 750,000+ active users Boosted system performance by 50% and slashed downtime by 20% through advanced query optimization and efficient server-side algorithms Architected and deployed microservices to enhance system modularity and scalability Conducted comprehensive performance audits, eliminating bottlenecks across the a...
Microsoft Office
Communication
SQL
Employed
Ready to interview
Indonesia
Full-time / Interested in working remotely
4-6 years
Avatar of Treevel Li.
Avatar of Treevel Li.
Senior Engineer @17LIVE Inc.
2023 ~ Present
後端工程師
Within one month
所提出的推薦演算法,並將其演算法模組化,以利公司後續發展相關數位產品與申請專利。 開發自動化爬蟲程式蒐集推薦演算法所需資料,並協助領域專家進行資料清洗與標記,改善推薦演算法推薦品質。 重構推薦演算法資料結構,使其支援動
Google Cloud Platform (GCP)
Amazon Web Services (AWS)
Cloudflare
Employed
Ready to interview
Taiwan
Full-time / Interested in working remotely
4-6 years
National Pingtung University of Science and Technology
資訊管理學系
Avatar of 邱嘉賢.
Avatar of 邱嘉賢.
Past
軟體工程師 @紅陽科技股份有限公司
2021 ~ 2024
後端工程師
Within one month
系統 扣除基本的CRUD,透過google API 發Mail,以及匯出報表(Excel) 使用到的技術有API Call 他們DB的個資,以及呼叫他們的API發簡訊 還有寫演算法,判斷預約,同時計算該User選擇的日期以及服務,顯示當前可預約的時間,同時也要平衡預約工作量 2.助聽器預約
C#
VB.NET
MSSQL
Unemployed
Ready to interview
Taiwan
Full-time / Remote Only
6-10 years
德明財經科技大學
資訊科技
Avatar of the user.
Avatar of the user.
Past
後端工程師 @智誠科技
2021 ~ 2024
Senior Backend Engineer
Within one month
Java
Vim
Gradle
Unemployed
Ready to interview
Taiwan
Full-time / Interested in working remotely
6-10 years
國立高雄第一科技大學
電腦與通訊工程研究所
Avatar of Lin Phoebe.
Avatar of Lin Phoebe.
Past
Sales Coordinator @沛立企業股份有限公司
2023 ~ 2024
後端工程師
Within one month
migrations to manage database schema changes - Used Docker and Docker Compose for consistent development and deployment GoDutch - https://pse.is/6jcrqb - Bill splitting tool to minimize the number of transactions and simplify the process of splitting bills - Provides an optimized solution for bill splitting using greedy algorithm - Implemented functions to create, update, and delete payments within a user group - Enabled secure user authentication through JWT tokens - Integrated Line Notify , enhancing communication between users and providing timely notifications Stylish -Developed an e-commerce platform using Node.js , Express , MySQL , Redis , HTML , and CSS -Utilized Nginx as
NodeJS
Express
NestJS
Unemployed
Ready to interview
Taiwan
Full-time / Interested in working remotely
6-10 years
The University of Hong Kong
Marketing
Avatar of Wang Chunshan.
Offline
Avatar of Wang Chunshan.
Offline
Data Engineer @TSMC 台積電
2022 ~ Present
資料分析師、演算法工程師、軟體工程師、軟體專案管理
Within one month
Chun Shan, Wang [email protected] A skilled ML engineer with 5 years of experience in deploying NLP-based systems across various domains including education, e-commerce, and psychology. Proficient in service development, model lifecycle management, fine-tuning LLMs and BERT, and creating MLOps environments. Experienced in building ML services with model fine-tuned, API development, backend development with Python/FastAPI, and frontend development with React. Adept at enhancing product quality through CI/CD, Kubernetes, and performance testing. EXPERIENCE Data Engineer,, TSMC Modernized Data Processing Infrastructure: Successfully refactored the data
MLOPS
Deep Learning
LLM
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立中央大學 National Central University
網路學習科技研究所

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Within one month
NLP工程師
Logo of TSMC 台積電.
TSMC 台積電
2022 ~ Present
Taipei, 台灣
Professional Background
Current status
Employed
Job Search Progress
Ready to interview
Professions
Back-end Engineer, Machine Learning Engineer, Python Developer
Fields of Employment
Work experience
4-6 years
Management
I've had experience in managing 5-10 people
Skills
MLOPS
Deep Learning
LLM
Python
NLP
Backend Development
Languages
Chinese
Native or Bilingual
English
Fluent
Japanese
Intermediate
Job search preferences
Positions
資料分析師、演算法工程師、軟體工程師、軟體專案管理
Job types
Full-time
Locations
Taipei, 台灣, New Taipei City, 台灣, Fukuoka, 福岡縣日本, Singapore, Vancouver, 英屬哥倫比亞加拿大
Remote
Interested in working remotely
Freelance
No
Educations
School
國立中央大學 National Central University
Major
網路學習科技研究所
Print



Chun Shan, Wang

[email protected]

A skilled ML engineer with 5 years of experience in deploying NLP-based systems across various domains including education, e-commerce, and psychology. Proficient in service development, model lifecycle management, fine-tuning LLMs and BERT, and creating MLOps environments.
Experienced in building ML services with model fine-tuned, API development, backend development with Python/FastAPI, and frontend development with React. Adept at enhancing product quality through CI/CD, Kubernetes, and performance testing.

EXPERIENCE

Data Engineer, 2022.07 - 2024.10, TSMC

  1. Modernized Data Processing Infrastructure: Successfully refactored the data processing applications for TSMC factories, transitioning from a traditional VM system to Apache Airflow on Kubernetes (K8S). The revamped system supports over 200 concurrent jobs and manages more than 500 processes in each fab.
  2. Scalable S3 Solutions: Engineered a S3-compatible storage solution using a MinIO cluster, accommodating over 50 online and offline applications across two fabs. Integrated a CI/CD pipeline to enhance the security and stability of maintenance operations, ensuring seamless updates and minimal downtime.
  3. Generic Data API Framework: Developed a versatile data API framework designed to query and process data from multiple databases. This framework improved query performance by 12% and featured a configurable structure that reduced manual processing time by 75%.
  4. Advanced Caching Mechanisms: Implemented advanced caching systems using MongoDB and Redis, achieving a reduction in query load by over 90%. The caching solutions were monitored and maintained using the ELK stack, ensuring high availability and performance.

NLP Engineer,  2021.04 – 2022.02Ubestream.

  1. 1. Developed NLU services for Taipei Metro: creating intelligent ticket agents that support ticket purchases, local tourism guidance, and Q&A. Utilized Huggingface, PyTorch, and Keras, and achieved a 92% success rate with 100+ concurrent users in load testing.
  2. Led the development of a configurable conversational agent: for the Taichung government’s Maple Garden business district, streamlining new store setup from 1 month to 3 days. The system was tested with 150 concurrent users, achieving 90% unit test coverage.
  3. Prepared product demonstrations: for internal presentations, investor fundraising, and international exhibitions, delivering over five public demos in Taiwan and internationally.

AI Developer,  2019.07 – 2021.04Silkrode

  1. Developed an advanced intent classification system leveraging BERT, created a Tornado-based API, and optimized overall system performance. The system efficiently manages over 22 types of intents and 12 types of entities.

  2. Deployed natural language understanding (NLU) services across web, Line, and Facebook platforms via API, incorporating over 75+ rule-based preprocessing techniques.

  3. Enhanced system performance and monitoring using the ELK stack and JMeter, successfully testing with over 300 concurrent users and enhancing the architecture and ensuring API response times remain under 200 milliseconds.

OTHERS

  • LLM Research, 2023 – now, Side Project

I contributed to a project developing an advanced science debate robot for elementary schools. Using Llama 3, it provides NLP tools for summarizing discussions, retrieving references, simulating opposing viewpoints, and offering personalized suggestions. Our tech stack includes RAG, vector search with Redis, and prompt engineering, finetuned with PPO and PEFT. The project supported 90+ students across four schools, with 50+ teachers involved in testing. The robot demonstrated a 16% higher confidence in practical application than GPT-3.5.

  • Engineer Intern, Jul. 2018 – Sep. 2018, Yahoo!

Developed  Auto-labeling and ranking based on word embedding for 6M items in the Yahoo! shopping mall.

EDUCATION


National Central University, PHD of Network Learning Technology, Taiwan,  Jul. 2024 - now

National Central University, Master of Network Learning Technology, Taiwan,  Sep. 2017 – Jul. 2019

Kinki University, International exchange students of Computer Science, Japan, Sep. 2015 – Jul. 2016

National Central University, Bachelor,Department of Information Management, Taiwan,  Sep. 2013 – Jul. 2017


Resume
Profile



Chun Shan, Wang

[email protected]

A skilled ML engineer with 5 years of experience in deploying NLP-based systems across various domains including education, e-commerce, and psychology. Proficient in service development, model lifecycle management, fine-tuning LLMs and BERT, and creating MLOps environments.
Experienced in building ML services with model fine-tuned, API development, backend development with Python/FastAPI, and frontend development with React. Adept at enhancing product quality through CI/CD, Kubernetes, and performance testing.

EXPERIENCE

Data Engineer, 2022.07 - 2024.10, TSMC

  1. Modernized Data Processing Infrastructure: Successfully refactored the data processing applications for TSMC factories, transitioning from a traditional VM system to Apache Airflow on Kubernetes (K8S). The revamped system supports over 200 concurrent jobs and manages more than 500 processes in each fab.
  2. Scalable S3 Solutions: Engineered a S3-compatible storage solution using a MinIO cluster, accommodating over 50 online and offline applications across two fabs. Integrated a CI/CD pipeline to enhance the security and stability of maintenance operations, ensuring seamless updates and minimal downtime.
  3. Generic Data API Framework: Developed a versatile data API framework designed to query and process data from multiple databases. This framework improved query performance by 12% and featured a configurable structure that reduced manual processing time by 75%.
  4. Advanced Caching Mechanisms: Implemented advanced caching systems using MongoDB and Redis, achieving a reduction in query load by over 90%. The caching solutions were monitored and maintained using the ELK stack, ensuring high availability and performance.

NLP Engineer,  2021.04 – 2022.02Ubestream.

  1. 1. Developed NLU services for Taipei Metro: creating intelligent ticket agents that support ticket purchases, local tourism guidance, and Q&A. Utilized Huggingface, PyTorch, and Keras, and achieved a 92% success rate with 100+ concurrent users in load testing.
  2. Led the development of a configurable conversational agent: for the Taichung government’s Maple Garden business district, streamlining new store setup from 1 month to 3 days. The system was tested with 150 concurrent users, achieving 90% unit test coverage.
  3. Prepared product demonstrations: for internal presentations, investor fundraising, and international exhibitions, delivering over five public demos in Taiwan and internationally.

AI Developer,  2019.07 – 2021.04Silkrode

  1. Developed an advanced intent classification system leveraging BERT, created a Tornado-based API, and optimized overall system performance. The system efficiently manages over 22 types of intents and 12 types of entities.

  2. Deployed natural language understanding (NLU) services across web, Line, and Facebook platforms via API, incorporating over 75+ rule-based preprocessing techniques.

  3. Enhanced system performance and monitoring using the ELK stack and JMeter, successfully testing with over 300 concurrent users and enhancing the architecture and ensuring API response times remain under 200 milliseconds.

OTHERS

  • LLM Research, 2023 – now, Side Project

I contributed to a project developing an advanced science debate robot for elementary schools. Using Llama 3, it provides NLP tools for summarizing discussions, retrieving references, simulating opposing viewpoints, and offering personalized suggestions. Our tech stack includes RAG, vector search with Redis, and prompt engineering, finetuned with PPO and PEFT. The project supported 90+ students across four schools, with 50+ teachers involved in testing. The robot demonstrated a 16% higher confidence in practical application than GPT-3.5.

  • Engineer Intern, Jul. 2018 – Sep. 2018, Yahoo!

Developed  Auto-labeling and ranking based on word embedding for 6M items in the Yahoo! shopping mall.

EDUCATION


National Central University, PHD of Network Learning Technology, Taiwan,  Jul. 2024 - now

National Central University, Master of Network Learning Technology, Taiwan,  Sep. 2017 – Jul. 2019

Kinki University, International exchange students of Computer Science, Japan, Sep. 2015 – Jul. 2016

National Central University, Bachelor,Department of Information Management, Taiwan,  Sep. 2013 – Jul. 2017