Phinna Huang

Fremont; 928-***-****; add8tq@r.postjobfree.com

EXPERIENCED SKILLS

Programming languages: Python, Bash, C#, HTML, CSS, JQuery, Javascript Database: PostgreSql, MySQL

Software framework: PySpark, Bootstrap

Machine Learning: Classification, Clustering, Regression, Natural Language Processing Software version control system: Git

WORK EXPERIENCE

Software Engineer Supermicro, U.S 04/2018 – present Support hardware teams to find motherboard related issues during the planning, development, and validation stages of the program

● Validated PCB design specifications and generated reports by retrieved PCB data using Python, HTML and Javascript

● Automated power simulation pre-processes using Python to increase nearly 50% productivity at PCB design power simulation

● Analyzed PCB design power performance using ANSYS SIWave tool and generated reports

● Maintained, troubleshot and debug of automated tools problems iOS Location QA Engineer Apple, U.S (through Ryzen Solutions) 06/2015 – 10/2017 Support iOS Location team to find location related issues on Apple map

● Executed, and analyzed test cases to evaluate GNSS performance of iOS devices

● Automated repetitive works using Python and Bash to improve productivity and reduce errors

● Extracted and converted relevant data from raw log files into widely used formats like CSV and YAML using Bash and Python

● Analyzed and visualized location datasets using Python data tools including Pandas and Matplotlib

● Generated testing reports using HTML, Javacript, and CSS

● Developed a data syncing tool with multi-threaded method in Python to retrieve large GPS location data from more than 20 mobile devices at the same time Graduate Research Assistant NTUST, Taipei, Taiwan 09/2009 - 06/2011 Conducted research for fault tolerance technology used to repair SRAM defects

● Operated various test tools, such Memory BIST, brains and 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 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 accuracy of the developed tool

● Applied numerous algorithms to the gene sequence database to compare them with the proposed algorithm

EDUCATION

NORTHERN ARIZONA UNIVERSITY, Flagstaff, AZ 2014

Master of Science, Degree in Computer Engineering

NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY, Taipei, Taiwan 2011 Master of Engineering, Degree in Electrical Engineering

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