Experiences

If you want to learn about me, please go to my Projects page, as this page is just here to get me my next job.

Neil Lu portrait
Fav company so far

GoFreight

Intern, SDET

02/2025 - Present

Currently interning at GoFreight as a Software Development Engineer in Test (SDET). I do:
  • Develop an AI test generation and error healing system with Claude and Playwright to replace current workflows.
  • Automate E2E testcase execution with Selenium, identifying anomalies in APIs, UI behaviors, and visual appearances.
  • Chain different CI tools and maintain Docker containers and adapt them for different environments.
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Went to military!

Marines

Trainee, Taiwan Marine Corps

09/2024 - 01/2025

Spent 4 months learning how to defend a democracy. We were trained on teamwork, swimming, weaponry, emergency healthcare, urban warfare, and supporting professional soldiers.

Military Reflections
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Hardware & Software

ITRI 工研院

Intern, Systems Integration

05/2024 - 08/2024

In charge of a new project about brainwave (EEG) signal acquisition and processing.
  • Built Python framework to stream brain signals from different hardware; developed portal with HTML & JS for realtime visualization.
  • Optimized Python framework with parallel processing & threading to perform realtime filtering, separation, & analysis of signals.
  • Scripted Arduino systems to stream analog sensor data into chip and then server; analyzed & modified circuits for brain measurement.
  • Produced patent analyses & market reports for commercially available brain-computer interface devices and mixed reality systems.
Linkedin Post
Internship Reflections
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NLP Research

Academia Sinica

Intern, NLP Research

05/2023 - 08/2023

Built intelligent systems with natural language understanding and common knowledge.
  • Developed a prototype information extraction system to extract biochemical interactions from research papers with spaCy (for NLP).
  • Parsed 100% of Chinese Wikipedia for text mining to construct common knowledge graph with Python and SQL.
  • Designed an error-tolerant word-rec algorithm for Chinese pharma terms, with 97%+ correctness & 300% avg. runtime improvement.
  • Assessed the use of pretrained word embeddings in meaning-disambiguation and visualized results with Python, HTML, CSS.
Linkedin Post
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