Phinna Huang
San Jose,CA
Summary
Adept at reviewing data and modeling solutions to find successful and cost-effective automation options. Knowledgeable about regulatory and security concerns. Proficient in PostgreSQL and Python. Fluent in Javascript, HTML, CSS, React programming languages used to develop automation tools and focused on usability and performance improvements. Collaborates with cross-functional team members to enhance software/hardware product quality.
Overview
7
7
years of professional experience
Automation Engineer
Supermicro
2018.04 - Current
Support hardware teams to find motherboard related issues during the planning, development, and validation stages of the program:
- Conducted regression testing, analyzed results, submitted observations and improvement recommendations to the development team
- Automated power simulation processes using Python to increase nearly 80% productivity at PCB power simulation
- Validated PCB design specifications with stakeholder requirements and generated reports by retrieving PCB data using Python, HTML, and Javascript
- Designed ER diagram and developed Postgre database for layout constraint data
- Automated ETL processes with python, making it easier to wrangle layout constraint data and reduce time by 50%.
- Maintained, troubleshoot, and debug automated tools
IOS Location QA Engineer
Apple (Through Ryzen Solutions)
2015.06 - 2017.10
Support iOS Location team to find location related issues on Apple map
- Wrote and optimized test cases to maximize success of manual software testing with consistent, thorough approaches.
- Developed a syncing data tool with multi-threaded method in Python to retrieve extensive GPS location data from more than 15 mobile devices at the same time
- Extracted and converted relevant location data from raw log files into widely used formats like CSV and YAML using Bash and Python
- Visualized location datasets on testing reports using Python data tools including Pandas and Matplotlib
- Generated testing reports using HTML, Javascript, and CSS
- Automated repetitive works using Python and Bash to improve productivity and reduce errors
Graduate Research Assistant
NTUST
Taipei, Taiwan
2009.09 - 2011.06
Conducted research for fault tolerance technology used to repair SRAM defects
- Operated various test tools, such as Memory BIST, brains , DFT Compiler
- Searched and studied traditional fault replacement techniques for embedded SRAMS
- Proposed a novel method of integrating both fault replacement and fault masking techniques enhancing the yield of embedded SRAMS from 67% to 98.4% Implemented the proposed novel method into an embedded SRAMs using synthesis and automatic placement and routing tools on a Linux system, Taxonomic Assignment of Gene Sequences using Hidden Markov Models
Work History
Master of Science, Degree - Computer Engineering
Master of Engineering, Degree - Electrical Engineering
Education
Skills
Python
Academic Experiences
Taxonomic Assignment of Gene Sequences using Hidden Markov Models 05/2013 - 07/ 2014
● Processed next-generation sequencing data interpretation using Qiime data pipeline
● Built and trained the proposed data model with Hidden Markov Models using Python for searching short DNA sequences against a gene sequence database
● Performed Python unit testing on the developed software tool
● Analyzed key performance indicators and adjusted parameters to improve the accuracy of the developed tool
● Applied numerous algorithms to the gene sequence database to compare them with the proposed algorithm
Automation Engineer - Supermicro
2018.04 - Current
IOS Location QA Engineer - Apple (Through Ryzen Solutions)
2015.06 - 2017.10
Graduate Research Assistant - NTUST
2009.09 - 2011.06
NORTHERN ARIZONA UNIVERSITY - Master of Science, Degree, Computer Engineering
NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY - Master of Engineering, Degree, Electrical Engineering