Joyce Huang
Software Engineer
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About
I have experience working in the semiconductor industry, as well as in start-up teams. Skilled in desktop development with Qt, HDMI module maintenance, deep learning model architecture, data analysis, and development of iOS apps and web. Passionate for software development and teamwork. Currently seeking to obtain a full-time job in software development where I can be a supportive and enthusiastic team player dedicated to implementing features and efficiently resolving project issues.
Experience
MediaTek - Software Engineer; Hsinchu, Taiwan - September 2021 ~ September 2022
Develop Auto Test IDE and Assist Customers
- Designed and developed auto-test IDE based on customer’s RESTful API for interior stress testing and issue reproduction.
- Developed memory mapping and allocating algorithms to make memory mapping modification more efficient.
- Assisted customers in dealing with system-related problems.
- Ported HDMI source code and HDMI features to two new chips; handled HDMI-related issues.
- Participated in software testing process, and validated HDMI functions and features, including CTS, VTS, and LTP.
- Interacted with customers to gather project requirements.
- Created user-friendly ERP dashboards using Laravel framework and DB with MySQL.
- Implemented system for financial analysis reports, employee salary, and asking for leave.
- Used bootstrap to construct RWD user interface.
- Familiar with MVC architecture, RDB (MySQL), and front-end web development (Bootstrap, CSS, HTML, JavaScript).
- Developed mobile application to control smart devices using BLE.
- Allowed users to share videos and pictures on social networks.
- Recorded the riding path and used Google Map API to record path map.
- Integrated APP with AWS DynamoDB, and Facebook API.
- Familiar with Swift, NoSQL (AWS DynamoDB), and third-party API (Facebook, Google Maps).
Education
Cheng Kung University, Taiwan - February 2020 ~ August 2021
Master of Science in Computer Science and Information Engineering
Thesis - PM2.5 Prediction Python, PyTorch, Deep Learning
- Developed algorithm to predict PM2.5 using Python.
- Designed method to convert discrete data into graphs.
- Implemented Encoder-Decoder GNN architecture for regression problem.
- Familiar with ML and DL libraries, such as PyTorch.
Bachelor of Science in Communication Engineering, GPA: 3.87/4.30 (Rank - 3rd/33)
Project - iOS App Development Swift, AWS, Firebase, Facebook API, TestFlight - September 2016 ~ September 2017
- Developed mobile application of delivery and e-commerce platform, added features like shopping cart, payment, navigation, and reply.
- Integrated iOS APP with AWS and Firebase.
- Familiar with development tools, such as TestFlight, Postman, and CocoaPods.
- Developed algorithms to detect and track dynamic objects using OpenCV.
- Built ROI to analyze location and movement of objects coming from behind to remind driver.
- Implemented optical flow and segmentation algorithms.
- Created secure network environment using Snort on SDN controller.
- Experimented with various attacks to understand operation of network security defense and attack.
- Updated and integrated newest Snort rules using Pulled Pork.