Jie-Ying (Peter) Li

Software Engineer, Open Source Contributor

JYL

About

2 years of experience in software engineering, specializing in AI, data science, and backend development. Proficient in Python, C++, and various machine learning frameworks. Strong background in computer vision and data engineering. Proven ability to develop and optimize machine learning algorithms for real-world applications. Excellent problem-solving skills and a passion for continuous learning.

Skills

ML/DL

Model Deployment

Model Optimization

Data Engineering

Backend Development

Work Experience

TrendMicro

2025.02 - Present

AI/ML Engineer

Developed and optimized machine learning algorithms for cybersecurity applications.

Python

C++

HuggingFace

PyTorch

ONNX

GCP

Vertex AI

OmniEyes

2024.02 - 2025.02

Software Engineer

Developed Advanced Driver Assistance Systems (ADAS) and CRM systems.

Python

Kotlin

TensorFlow

OpenCV

PostgreSQL

MongoDB

Serverless

AWS

Docker

Taiwan Semiconductor Manufacturing Company (TSMC)

2023.11 - 2024.02

Software Engineer

Developed and optimized 50+ ETL pipelines using Airflow for data processing and analysis.

Python

Pandas

SQL

Airflow

MSSQL Server

Docker

Kubernetes

Azure

CI/CD

Education

National Tsing Hua University

2021 - 2023

Master's Degree in Information Systems and Applications, GPA: 4.23/4.30

Yuan Ze University

2017 - 2021

Bachelor's Degree in Computer Science and Engineering, GPA: 3.79/4.00

Extra Curricular & Certifications

Lyft Back-End Engineering Job Simulation

2024.04

Completed the Back-End Engineering job simulation, taking over development of an unfinished project for the Lyft Rentals team. Drafted a UML class diagram representing a new reorganized architecture. Refactored a messy codebase inherited from another team to accurately reflect my new design. Implemented unit tests and added new functionality using test-driven development.

Ford Digital (University 3rd-4th Year) Job Simulation on Forage

2024.04

Completed a job simulation that involved building containers for one of Ford's backend development teams. Developed a backend to stream engine temperature sensor readings from cars to mobile phones. Connected a Flask server to a Redis instance using Docker Compose.

AWS APAC Solutions Architecture virtual experience program on Forage

2024.04

Designed and simple and scalable hosting architecture based on Elastic Beanstalk for a client experiencing significant growth and slow response times. Described my proposed architecture in plain language ensuring my client understood how it works and how costs will be calculated for it.