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林彥良
Software Engineer
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林彥良

Software Engineer
Software engineer with experiences of machine learning modeling, maintaining data pipelines for data applications, processing data workflow and validate through PL\SQL scripting. Enthusiastic to build and deliver data-driven applications through advanced techniques
Synpulse
國立成功大學
台灣台中市

Featured Resume

Uploaded on Mar 8th 2024

Professional Background

  • Current status
    Employed
    Open to opportunities
  • Profession
    Data Scientist
    Software Engineer
  • Fields
    Artificial Intelligence / Machine Learning
  • Work experience
    2-4 years (2-4 years relevant)
  • Management
    None
  • Skills
    python
    SQL
    Machine Learning
    Bash
    postgres
    Docker
    PL\SQL
    Oracle Database
  • Languages
    English
    Fluent
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    Full-time
    Interested in working remotely
  • Desired positions
    Data Engineer/Data Analyst/Data Scientist
  • Desired work locations
    Taichung City, Taiwan
  • Freelance

Work Experience

Senior Analyst, software engineer

Synpulse
Full-time
Jul 2022 - Present
Taipei City, Taiwan
- Performed data migration workflow with different functional streams for Avaloq banking system via PL/SQL scripting, deliver project into production - Support development, testing, data validation, and deliver reports for different banking functional streams

Machine learning engineer

Lydia AI
Full-time
Nov 2021 - May 2022
7 mos
Taichung City, Taiwan
- Maintain ETL process with docker container and pinpoint data issue within the pipeline - Support CI/CD deployment in production environment and monitor system stability - Write automation scripts for test cases and data validation - Working with clients to understand business needs and export results from system

machine learning researcher

Sep 2020 - Oct 2021
1 yr 2 mos
Kaohsiung City, Taiwan
-Collect and analyze data sets to drive data science solutions for company's demand that save developer’s time to examine the product -Plan and design to import the de-identify system to company's product -Derive programming tools to build predictive models and REST API for NLP application -Build automatic data collection pipeline for ML project

Education

Master’s Degree
工程科學
2014 - 2018
Activities and societies
於大學和研究所學習工程和資訊的各項基礎,在生活忙碌時透過禪坐讓自己能保持平常心,理清思緒。

Licenses & Certifications

Coursera
Credential ID: N8XJ9MKXCSPN
Issued Jun 2021
No Expiration Date