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reducing parameter training volume to 2% , decreasing memory usage by 70%, and increasing training speed by 25%. Architecture Optimization: Used Direct Preference Optimization (DPO) to optimize Reinforcement Learning, improving model efficiency and decision quality. [ G itHub ] Graduate Research Assistant OctOct 2023 Institute of Information Science, Academia Sinica, Taiwan Natural Language and Knowledge Processing Lab (NLP Lab) Publication: Published in ACM CIKMSequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models . [ Paper | GitHub ] Performance has improved by 18.8% compared to traditional methods in the past and surpassed SOTA LLMs by 39.6

and honed my skills in dynamic tech stacks. As a seasoned product manager, I've successfully navigated the intersection of user needs and technical innovation, steering product strategies for optimal growth. From leading software teams at IBM to co-founding a startup that delved into machine learning and natural language processing, I bring a unique blend of technical prowess, product expertise, and entrepreneurial flair. My expertise in growth hacking working with early stage startups around the world involves leveraging lean startup methodologies and data-driven decision-making to drive business success. I'm excited to bring

HUEY-LONG CHEN 陳惠龍 Kaggle Competitions Expert: https://www.kaggle.com/alanchen1115 Competitions: NLP (自然語言處理): - Silver medal (solo): (Kaggle) U.S. Patent Phrase to Phrase Matching: Help Identify Similar Phrases in U.S. Patents, 2022/06/21 Recommendation system (推薦系統): - Silver medal (solo): (Kaggle) OTTO – Multi-Objective Recommender System: Build a recommender system based on real-world e-commerce sessions, 2023/02/08 - Bronze medal (solo): (Kaggle) H&M Personalized Fashion Recommendations: Provide product recommendations based on

with problem solving, I have strong determination to succeed and hope to make a contribution to every opportunity. Data Engineer Hsinchu, TW [email protected] Skills Big Data Engineering Rich knowledge in NoSQL , skilled in RESTful search API and distributed analytics engine ElasticSearch . Experienced in multilingual Natural Language Processing , working on reliable data pre-processing and data cleaning. Deep Learning Leading team members to do research and build Machine Learning models, further designing prototypes on application system. Utilizing Deep Learning methods (CNN/RNN) to process heterogeneous documents and develop systems for market analysis

including Recurrent Neural Network (RNN), word2vec, paragraph vector. Working Experience Intern, JulDec 2014 Phalanx Biotech Develop machine learning solutions for cancer gene detection and TSMC semiconductor quality prediction. Intern, JulAug 2013 Solid State System Assisted in CMOS MEMs microphone product development including proto-type simulation, fabrication/packaging process, defect analysis and market survey. Achievements 1. Qualified of preliminary contest of TSMC Big Data Analytics for Semiconductor Manufacturing. Taiwan,Completion of Broad-DREAM Gene Essentiality Prediction Challenge, 2014 Professional Skills Research Field Machine Learning Deep Learning Computer Vision Natural Language Processing Lang...

WangPengKang 王鵬綱 Currently, I am a Senior Data Engineer at Far EasTone Telecom, focusing on data warehousing, data transformation, CICD , automation, web scraping, data science, and providing data platform services and insights. Taipei, Taiwan Skill Data&ETL : DataBricks ,Trinity ,Airflow, Prefect, Spark(pyspark), RabitMQ CICD : Docker, Jenkins, Git Database : Teradata, MySQL, Oracle ,PostgreSQL Programming languages : Python, SQL Machine Learning : Classification, Clustering, Regression, Natural Language Processing, Fraud Detection, Recommender System, Social Network Mining Visualization : Tableau, Metabase, Python(Matplotlib, Seaborn, plotly, DASH), Data Studio Crawler : python(BeautifulSoup, Selenium, Scrapy, Mitmproxy) Others VSCode , Notion, Hackmd Work Expertise and Experience 工

Ryan Chao [email protected] • Taipei, Taiwan Hi, I'm Ryan, my current research interests include natural language processing, data engineering, machine learning and data related applications, and these are also my daily duties. Experience PIXNET Assistant Manager, AugSep 2022 Lead data team(Augnow) Lead and manage data team with 6 members, we are dedicated to deliver insights from data to the company, not only support decision-making for business but also provide tech solutions to our services and products. My contributions includes: Architecture and methodology review for data solutions and various data analytic tasks Translate