integrating 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
人工智慧工程師 @玉山銀行智能金融處 (Intelligent Finance Dept., E-SUN Bank )
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2020 ~ Present
Machine Learning Researcher / Engineer
Within one month
Jeffrey Lin ( 林奕勳 ) ESUN Bank, Intelligent Finance Technology Department, AI Engineer focusing on Enterprise-Level ML Frameworks and Design Patterns [email protected] TW, Taipei CAREER SUMMARY 6+ years of deep learning research and development experience, with a strong ability in prototyping, evaluation, and deployment of models, in both academical and industrial environment. 2+ years of financial AI development experience, specialized in the design of python API, SDK, and framework for optimizing the deployment flow of data science, ETL, and machine learning pipelines. 1+ year of participation in the technology management
The system can help food companies know which words/sentences are illegal or suspicious in their ads (e.g. involves medical efficacy), to avoid being fined after the ads is published. Realtime CCTV raining detection AI for weather prediction company in Taiwan. Project lead and Deep learning model development/deployment. The system can notify landfill operators once it's raining near the landfill for them to do necessary process in time. IC crack detection AI for a large semiconductor equipment manufacturer in Taiwan. Deep learning model development Use deep learning model