Flora Liu Hardware Engineer

About

I am Flora Liu, a hardware engineer.

Mechanical engineering taught me the physics. Testing, product development and research taught me to use data to make decisions. That turned out to be the harder part.

I'm interested in how a product gets designed, earns confidence and creates value.

Download résumé (PDF)
Portrait of Flora Liu.

Experience

Amazon

Hardware Engineer · Product Integrity

2025–2026

  • Hardware qualification across the full NPI lifecycle: EVT, DVT, PVT, HVT through mass production.
  • Automated NPI issue tracking, status checks and reporting to cut time spent on routine updates.
  • Built a test-data platform (MySQL + dashboards) so test evidence could be queried instead of reassembled by hand.
  • Analyzed reliability data to support product-readiness decisions: lifetime modeling, distribution fitting and uncertainty estimates.
  • Used data analysis and AI tools to support failure analysis.

Delta Electronics

R&D Engineer Intern · Lab for Digital Twin-Based Optimization

Jul–Aug 2024

  • Built Python tools to automate parametric modeling and FEA runs, shortening the time from design to analysis.
  • Added an interface for engineers who don't code, and improved it with their feedback.

SGS Taiwan

Reliability Intern · Reliability Laboratory

Sep 2023–Apr 2024

  • Ran vibration, shock, thermal, ingress and HALT testing; instrumented rigs with LabVIEW and DAQ.
  • Compared physical measurements with FEA results and reported where they differed.
  • Added FEA to the test workflow to help explain results to clients.

Education

National Taiwan University

M.S., Engineering Science and Ocean Engineering (Electrical & Electronic)

Sep 2024–Jul 2026

First-author paper, presented orally at SPIE Smart Structures + NDE 2026, Vancouver: load-carrying and stability improvement of a miniature ultrasonic piezoelectric plate motor.

Proc. SPIE 13949 · doi:10.1117/12.3090434 ↗

National Cheng Kung University

B.S., Mechanical Engineering

Sep 2020–Jun 2024

Research: sliding-mode control system for vibration control.

Selected work

Public repositories only.

Visual servo control of a piezoelectric motor

Research instrumentation

The measurement and control rig behind my thesis: a camera tracks the motor, a Keysight 33600A drives it over SCPI, and a PID loop holds its heading.

Tracking
120 FPS
Frame P99
3.6 ms
Heading drift
10.2° → 2.6°

Read the project page → GitHub ↗

Test2Fail Toolkit

Life data analysis

Test-to-failure data in, report out: fits life distributions, puts confidence intervals on them, estimates B10, B50 and MTTF, and writes a PDF. Ships with synthetic sample data only.

Distributions
3
Bootstrap resamples
1,000
Monte Carlo samples
10,000

Read the project page → GitHub ↗

Survival curves for one synthetic dataset under Weibull, lognormal and exponential fits.

Outdoor weathering monitor

Data engineering

Imports weather-logger and station data into MySQL and feeds an Excel dashboard: pick one month, several, or a range across the new year, and eight linked charts follow. The demo runs on synthetic data.

Readings a day
1,440
Linked charts
8

Read the project page → GitHub ↗

Deep learning coursework

Machine learning

Graduate homework in PyTorch: regression on analytic fluid flows with an architecture ablation, a CNN on CIFAR-10, neural style transfer (VGG19, L-BFGS) and a physics-informed network for the 1D wave equation.

Assignments
5

github.com/floraliu-dev/deep-learning-coursework ↗

College portfolio

Mechanical engineering

Coursework, projects and an internship from my B.S. at NCKU: a two-robot retrieve-and-transport system, vibration control research, fan CFD at SGS, FEA, mechanism design and CAD.

Years
2020–2024

github.com/floraliu-dev/College_Portfolio ↗

Ansys stress and displacement analysis of a computer stand.

Certifications & training

Certifications

Training

Skills

Product development
NPI Project management
CAD / FEA
SolidWorks Ansys COMSOL AutoCAD
Electronics / Embedded
LTspice LabVIEW NI DAQ Keil
Statistics
Weibull analysis B10 life / MTTF Monte Carlo simulation Cp / Cpk
Coding & data
Python MATLAB SQL PyTorch Git Docker
AI
LLM agents MCP LangGraph AWS

Outside the lab

Outside work: representing TSMC on campus, following where the industry is heading, and learning from people in other fields.

TSMC Campus Ambassador, National Taiwan University

Mar 2025–Mar 2026

Represented TSMC at NTU job fairs and recruiting sessions, and wrote the event posts. The job-fair post:

Impressions
11,000+
Reactions
370+
Comments
90+

Impressions: LinkedIn only. Reactions and comments: LinkedIn and Facebook. Read the post ↗

Flora at the TSMC booth during the NTU job fair, talking with a student.

NVIDIA GTC Taipei 2026

Jun 2026 · Taipei Music Center

From Jensen Huang's keynote:

Agent = LLM + Harness

The agent is the application, the LLM is the code, the harness is the operating system. To build agents, we need LLMs that write code inside that operating system.

Watch the keynote ↗ · About GTC Taipei ↗

Flora's NVIDIA GTC 2026 Taipei badge held up in front of the keynote stage.