Avatar of Po-Hsun Li (李柏勳).
Po-Hsun Li (李柏勳)
National Yang Ming Chiao Tung University- Biomedical informatics
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Po-Hsun Li (李柏勳)

National Yang Ming Chiao Tung University- Biomedical informatics
I finished my bachelor degree of Information Management at NTUNHS. Now, I'm studying the master degree of Biomedical Informatics at NYCU. Full-Stack Development: Experienced in both front-end and back-end technologies for 3+ years, including Python, Typescript, ReactJS, NodeJS and Java. Medical Imaging Analysis: Processing pathological whole slide images using CNN, attention, and self-attention mechanisms within deep learning frameworks (e.g. Pytorch, Tensorflow). Database Management: Expertise in SQL (e.g. MySQL, MSSQL, PostgreSQL) and NoSQL (e.g. MongoDB , Redis) databases for managing large medical datasets.
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英業達
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National Yang Ming Chiao Tung University
New Taipei, Taiwan

CV Pilihan

Diunggah pada 10 Jan 2024

Latar Belakang Profesional

  • Status sekarang
    Siswa/Mahasiswa
    Terbuka untuk peluang
  • Profesi
    Web Developer
    Software Engineer
    App Developer
  • Bidang
    Software
    Internet
    Layanan Informasi
  • Pengalaman Kerja
    Kurang dari satu tahun (relevan Kurang dari satu tahun)
  • Management
    Saya berpengalaman mengelola 1-5 orang
  • Skil
    HTML/CSS
    JavaScript
    PHP
    MongoDB
    MySQL
    MSSQL
    Node.js / Express.js
    Python
    Java
    React
    ReactNative
    Git
    TypeScript
  • Bahasa
    English
    Menengah
  • Pendidikan tertinggi
    Master

Preferensi pencarian kerja

  • Jenis pekerjaan yang diinginkan
    Magang
    Tertarik bekerja jarak jauh
  • Jabatan pekerjaan yang diinginkan
    Internship
  • Lokasi pekerjaan yang diinginkan
    Taipei City, Taiwan
  • Bekerja lepas
    Pekerja lepas paruh waktu

Pengalaman Kerja

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Student Intern

09/2022 - 03/2023
7 mos
Neihu District, Taipei City, Taiwan 114
Websocket Technology for Web Architecture Refactoring and Maintenance: Achieved a 40% reduction in server response time, enhancing user experience. Connected Raspberry Pi for Streaming Image Processing: Implemented OCR using deep learning, achieving 85% accuracy in character detection. Established Docker Containers for Automatic Deployment: Increased deployment efficiency by 60%, ensuring smoother and more reliable software updates. Reconstructed AutoIt scripts using Python: Enhanced script efficiency by 50%, reducing processing time for routine tasks.

Edukasi

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Master
Biomedical informatics
2023 - 2025
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Sarjana
Information management
2019 - 2023

Sertifikasi dan Lisensi

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Microsoft Technology Associate

Microsoft
Dibuat 08/2017
Tidak Ada Tanggal Kadaluwarsa