analytics tools and event tracking systems. Spearheaded the integration of Strapi (a content management system), enhancing the team's ability to quickly produce pages and distribute content . Pioneered the integration of LLM model API services. Research Assistant, Academia Sinica 11//2020 Conducted research in deep learning-based Natural Language Processing (NLP), exploring innovative approaches in machine learning. Experimented with various training methods and models, including multi-task learning and language models such as BERT. Authored a publication titled "Detecting Deceptive Language in Crime Interrogation". Investigated Memory Networks and applied them to develop
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
・
2021 ~ Present
Software Engineer
Within one month
Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for
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) The Learning Agency Lab - PII Data Detection: Develop automated techniques to detect and remove PII from educational data. 2024/04/24 - 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
nlp-rasa
recommender system
pytorch tensorflow
Employed
・
Open to opportunities
Part-time / Interested in working remotely
More than 15 years
Purdue University
・
School of civil engineering (Stochastic & statistical hydrology)
魏孝全 Siao 專業設計量化問題的統計量,有數據模擬、建模、驗證的經驗。 長期研究中文的自然語言處理,近期工作是處理 Real-time bidding 相關的問題。 Taipei, Taiwan 工作經歷 Machine Learning Engineer • 現觀科技 Groundhog Technologies - Real-time bidding strategy in digital advertising. - Ad selection, Budget Controller - CTR model inference time speed up 40% - CTR model training time speed up 600% - De-anonymization, Historical
designing and implementing a machine learning system that evaluates customer ratings based on personal and market financial data. My expertise in AI and blockchain technology led to opportunities such as overseeing a blockchain ICO project in Russia and co-founding a blockchain company where I developed the pioneering deep learning model for estimating the value of decentralized domain names. Currently, I manage ArgsData and MorphusAI, innovative companies focused on delivering cutting-edge data solutions and advancing digital human technology through advanced deep learning methodologies. Professional Skills: Artificial Intelligence Facial Recognition and Facial AI Technologies: Real-Time Facial
Solidity
blockchain development
Docker
Full-time / Interested in working remotely
4-6 years
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