Hello, I'm

Leon Qu

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I am a software developer with an obsession for efficiency and elegant solutions with a focus on data science and automation.

Proven ability to deliver effective and secure software. My current interests are in machine learning and semiconductor manufacturing automation.

Portland, OR  ·  leonjrqu@gmail.com
Leon Qu
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🚀 Projects

AutoPD

Python program that assists with automating the time-consuming process of manually modifying data and creating numerous tables daily for morning passdown meetings and emails.

After implementation, our team members have cut down time spent on the task from 45-50 min to about 5-10 min depending on any additional comments that they wish to add. Features a version check at the program startup.

  • Python
  • Intel PyUber
  • Numpy
  • Pandas
  • Sharepoint API
  • CI/CD

TruePath

Python program that helps to track the processing of specific wafers in the lot. Certain wafer may be split out for different processing experiments, and this program helps to identify which wafers are part of which experiments.

After implementation, the script significantly improved tracking efficiency as it helped show full flow of a lot and the path of each wafer. It features functionality to show a single lot flow or compare two lots. Files can be generated to Excel or HTML file.

  • Python
  • Intel PyUber
  • Pandas

BLISS

Python program that helps to track the processing of wafers in the factory where a group of wafers may be split out for different processing experiments.

After implementation, the script significantly improved tracking efficiency and reduced manual errors in finding which wafers were part of which experiments.

  • Python
  • Intel PyUber
  • Numpy
  • Pandas

AutoFTE

Python program that assists with automating the time-consuming process of manually modifying data to create an Excel spreadsheet with relevant data.

It was designed to automatically pull all factory data from company servers in order to be utilized for team purposes.

  • Python
  • Intel PyUber
  • Numpy

Sneaker Portfolio

Created a portfolio web application for sneaker enthusiasts to track and manage their collections. The application features real-time updates and integration with various sneaker APIs.

  • JavaScript
  • Node.js
  • Express.js
  • React
  • Render
  • API Integration
  • Cloud Deployment
  • CI/CD

🚀 Experience

Integration & Yield Engineer Technician

Intel
Nov 2022 - Present
  • Designed and implemented reusable Python/SQL validation tooling that automated repetitive checks and reduced manual verification effort by 90%.
  • Collaborated with cross-functional engineering teams to reproduce failures, isolate root causes, and deploy corrective actions for recurring integration defects.
  • Authored technical documentation for process updates, configuration changes, and workflow logic to improve traceability and maintainability.
  • Led end-to-end validation execution for factory automation and manufacturing data pipelines.

Operations Manufacturing Technician

Intel
Dec 2020 - Oct 2022
  • Validated production automation and data interfaces to maintain process consistency, system reliability, and data integrity.
  • Performed root cause analysis on process failures and implemented best known methods (BKMs) to reduce downtime.
  • Standardized operational documentation and KPI reporting to improve performance visibility and quality tracking.

AI Data Trainer

Invisible Technologies
Apr 2024 - May 2025
  • Evaluated Python/Java code datasets against quality and correctness criteria to improve logical consistency and dataset reliability.
  • Applied structured defect-review and bug-triage methodologies to surface failure patterns and improve annotation quality.

Full Stack Software Engineer Intern

Leadwest Education
Aug 2019 - Dec 2019
  • Engineered and maintained company web pages as the sole developer using React (frontend) and Node.js (backend).
  • Produced and integrated digital educational content to increase online engagement and audience growth.

Research Assistant

University of Hawaii at Manoa Research
Nov 2018 - Jan 2019
  • Conducted geospatial coastline analysis using Google Earth and California coastline datasets to identify shoreline recession trends.
  • Built weekly Python-based data processing workflows (Pandas, NumPy) to normalize observations and report trend insights.

Data Science Intern

Sheila Donnelly & Associates
Feb 2017 - Jun 2017
  • Cleansed and restructured a 2,000+ record company database to eliminate data discrepancies and improve data quality.
  • Automated contact-ingestion workflows with SQL and MongoDB scripting to reduce manual entry and improve processing efficiency.

🚀 Skills

Languages & Scripting

Python SQL JavaScript Java C/C++ Bash / Shell PowerShell

Automation & Frameworks

Selenium / Web Automation REST API Integration Flask Django Node.js Pandas / NumPy BeautifulSoup

Data & Databases

Microsoft SQL Server PostgreSQL MySQL MongoDB AWS DynamoDB ETL Pipelines Data Validation

Testing & CI/CD

Test Automation Validation Tooling Git / GitHub CI/CD Pipelines Root Cause Analysis Defect Triage

DevOps & Tools

Docker Linux AWS VS Code PyCharm IntelliJ IDEA Jira

Engineering Practices

Process Automation Design Agile / Scrum Software Architecture Technical Documentation Manufacturing Automation Cross-Functional Collaboration

🚀 Education

University Hawai'i at Manoa

Computer Science Bachelor of Science
Chinese Language Bachelor of Art
Aug 2014 - Dec 2019

Nanjing University

Chinese Flagship Capstone
Jan 2019 - Dec 2019

🚀 Awards

Benjamin A. Gilman International Scholarship & Critical Language Scholarship

2019

2nd Place - Language Flagship Technology Innovation Center - Flagship Hackathon

2018

Green Ideas Best Team Award & Green Ideas Innovator Award - Language Flagship Technology Innovation Center

2018