# I-Huei (Hannah) Huang

> Software Engineer at Sigma Computing

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/ihuei

Passionate in Software Infrastructure, Cloud Computing and Distributed System

Interests: Cloud Computing, Big Data Analytics, Data Warehousing
Key Skills: C, C++, Python, Java, Hadoop, SQL/noSQL database 
Hands on experience: Hadoop, Hive, MapReduce, Presto, AWS, MySQL, Hbase

## Work Experience
### Software Engineer @ Sigma Computing (hiring!)
Jan 2022 – Present

### Senior Software Engineer @ Pinterest
Jan 2018 – Jan 2023 | San Francisco Bay Area
Content Quality Team
• Created Near Real Time Story Pin Selection system to filter low quality story pins and select the best pins for users in different countries by using Flink, Kafka, S3 and Rockstore
• Developed Pin Selection batch pipeline to deliver pin features, validate pin quality, ranking and localization to Pinterest serving platforms- Homefeed, Related Pin and Search by using Hadoop.

Shopping Team
• Created user engagement reporting pipeline to provide weekly and yearly engagement trends and insights on user interest categories for Pinterest’s business partners by using Python and Hive
• Developed indexing pipeline and validation framework for products to serve merchants’ product feeds into shopping ads index by Java

### Software Engineer @ Citadel LLC
Jan 2017 – Jan 2018 | Greater Chicago Area
Portfolio Construction Group Team
• Developed a real time risk analysis system to process 300,000 records market data per second by building up an AMPS high-performance client and generating triggers based on specific events using Python and Vertica
• Improved the testing and deployment process by creating unit tests and integration tests for each features and a pipeline for auto-testing and deployment using Bamboo and Ansible

### Software Engineer Internship @ Citadel LLC
Jan 2016 – Jan 2016
Order Execution and Management Team
• Developed an alert system to automatically detect anomaly on data pipeline to exchanges based on statistical analysis using historical data by Python, Pandas, NumPy and Bash 
• Increased the performance by 20% to process 100,000 rows of records per second real-time stream by C++, multi-thread and SQLite
• Reduced human errors and time to recover order execution system by 25% with automation alerting system

### Product Technology Development Engineer Intern @ INNOLUX群創光電
Jan 2014 – Jan 2014 | Taiwan
• Identified the main cause of an unexpected panel defect by measuring numerous parameters of panels and analyzing the correlation between different parameters with graphs in Excel
• Received a recommendation letter from Innolux Corporation after presenting the optical principles of LCD panels to other product manager and engineer interns and mentors

### Teaching Assistant @ National Tsing Hua University
Jan 2012 – Jan 2013 | Hsinchu, Taiwan
• Contributed to an increase in the course-passing rate by 20% through teaching students the exact experimental procedures and skills to write scientific reports
• Received recommendation from the instructors due to well-organized course arrangement and realistic assessment of students’ learning outcome


## Education
### Master of Science (MS) in Electrical & Computer Engineering
Carnegie Mellon University
Jan 2015 – Jan 2017

### Graduate program in Physics in Computer Science
National Tsing Hua University
Jan 2014 – Jan 2015

### Bachelor of Science (BS) in Physics
National Tsing Hua University
Jan 2009 – Jan 2013


## Contact & Social
- LinkedIn: https://linkedin.com/in/ihueihuang

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Source: https://flows.cv/ihuei
JSON Resume: https://flows.cv/ihuei/resume.json
Last updated: 2026-03-20