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Software engineer
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ Présent
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Dans 1 mois
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
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國立台灣大學
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生物產業機電工程所
Software Engineer @CakeResume2022 ~ Présent
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Software Engineer
Dans 1 mois
led to a Next.js server crash. Enhanced team's data analysis efforts by 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
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National Taiwan University
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Software Engineer
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國立陽明交通大學(National Yang Ming Chiao Tung University)
Spécialisation
Institute of Network Engineering
Jyun-Siang Huang
Taitung, Taiwan
[email protected]
+886-978-802-122
EDUCATION
2018 - 2021
National Yang Ming Chiao Tung University
Institute of Network Engineering
2014 - 2018
University of Taipei
Computer Science
PROJECTS
Profile-Guided Optimization for Indirect Branch in an LLVM-Based Binary Translator
A binary translator emulates the binary files of the source instruction set by the target instruction set. Emulating an indirect branch requires mapping a source program counter address to a target program counter address.
- The work translates AArch64 binary to RISC-V binary and runs on the RISC-V board.
- Develop the profile-guided optimization for indirect branch
- Collect and analyze the execution frequency of each destination for each source indirect branch instruction to construct address mapping tables.
- Accelerate the process of finding the target address as branch destination when emulating a source indirect branch instruction.
TECHNICAL STRENGTHS
Programming Languages
- C/C++
- JAVA
- Python
Tools
- git/GitHub
- Linux
- LLVM compiler
Specialization
- Software Engineering
- Android
Jyun-Siang Huang
Taitung, Taiwan
[email protected]
+886-978-802-122
EDUCATION
2018 - 2021
National Yang Ming Chiao Tung University
Institute of Network Engineering
2014 - 2018
University of Taipei
Computer Science
PROJECTS
Profile-Guided Optimization for Indirect Branch in an LLVM-Based Binary Translator
A binary translator emulates the binary files of the source instruction set by the target instruction set. Emulating an indirect branch requires mapping a source program counter address to a target program counter address.
- The work translates AArch64 binary to RISC-V binary and runs on the RISC-V board.
- Develop the profile-guided optimization for indirect branch
- Collect and analyze the execution frequency of each destination for each source indirect branch instruction to construct address mapping tables.
- Accelerate the process of finding the target address as branch destination when emulating a source indirect branch instruction.
TECHNICAL STRENGTHS
Programming Languages
- C/C++
- JAVA
- Python
Tools
- git/GitHub
- Linux
- LLVM compiler
Specialization
- Software Engineering
- Android