Shang-Wei's Blog

About me

I am currently MS ECE Student at UC San Diego. I am actively seeking 2020 Full-Time job opportunity relating to Software Development and Machine Learning/ Deep Learning.

I have hands-on experiences in Machine Learning, Deep Learning and Data Analysis, and one publication on Computer vision/ Semantic Segmentation on 2019 IEEE ICIP. Currently, I am learning some web development by myself and the idea and results are demonstrated in my github.

Download CV

Education

University of California, San Diego

Master of Science

Electrical and Computer Engineering - Machine Learning and Data Science

GPA: 3.75/4.00

September 2018 - Present

National Chiao Tung University

Bachelor of Science

Electrical Engineering and Computer Science

Rank: 3/28 GPA: 4.05/4.30

September 2013 - June 2017

University of Illinois, Urbana–Champaign

Exchange Student

Electrical and Computer Engineering

GPA: 3.77/4.00

August 2016 - December 2016

Experience

Software Engineer Intern (DevOps)

Trend Micro

Achieved 3 kinds of dashboards on Splunk for monitoring the CPU, memory usage, local storage usage, the health of thread, etc. in each endpoint.
Developed automatic alert system via slack using anomaly detection in Splunk Machine Learning toolkit.
Expedited problem-solving time about 30% by my Splunk App.

July 2019 - August 2019

Research Assistant

Communication Electronics and Signal Processing Laboratory, NCTU

Investigated autonomous driving semantic segmentation model using RGB and Depth information..
Achieved 71.3% mIoU on the Cityscapes dataset with 3.3% improvement over baseline.

June 2018 - October 2018

Skills

Programming Languages

Python, C/C++, Java, JavaScript, Matlab

Machine Learning/ Deep Learning

PyTorch, TensorFlow, Sklearn

Data Analysis

Pandas, Numpy, R, Splunk

Web Development

Flask, Django, Node.js, Express.js, React, Bootstrap, Html, Css

Miscellaneous

Linux, Git

Workflow

DevOps, Agile Development & Scrum

Projects

To Do List App

Utilized Redux to perform centralized management of application's state and maintain persistence.

May 2020
[github]
Demo

Airbnb New User Bookings Challenge on Kaggle

Improved model performance by 11% by conducting data cleaning and data engineering, imputing missing values.
Achieved top 11% over 1100+ competitors using XGBoost.

April 2020
[github]

React Collections

Expense-Income tracker Demo
Youtube API video search engine application Demo
Taiwan Government Open Data API Demo
Chocolate club shopping system (fullstack)

March - April 2020
[github(Money-in-Pocket)]
[github(My-Youtube)]
[github(Taiwan-Gov-Data)]
[github(Shopping)]

Hsinchu Foodie Blog

Developed RESTful API through Express.js with searching engine, adding new restaurant and edit restaurant information features.
Linked application with a NoSQL database designed by myself using MongoDB.
Developed responsive web design using CSS Bootstrap.

March 2020
[github]

Shopping Cart API

Developed server side application components through Express.js with member register/login/make order/edit order/order confimation email service.
Designed MySQL database schema with member, product and order features.
Utilized Postman to fully examine functionalities.

March 2020
[github]

E-Commerce Online Shopping Website

Implemented Model View Control architecture using Django web framework with login/register, shopping cart, order checkout features.
Developed responsive web design using CSS Bootstrap.

February 2020
[github]

Goodreads Rating and Read Prediction Challenge on Kaggle

Improved about 6% accuracy by implementing collaborative filtering of user and book similarities.
Formulated the task to pairwise preference prediction solved by latent factor model (SVD algorithm).
Achieved top 21%/ 28% among 423/ 847 competitors on Rating/ Read Prediction.

November 2019
[github]

Random Straws Drawer System Web Application

Proposed and Established meeting speaker straws drawer system with adding new member feature/ admin-login feature.
Designed SQL database schema and linked with Flask REST API.
Enhanced code readability and simplified functionality augmentation using Jinja2 template engine.

August 2019
[github]

Image Descriptor

Addressed objects missing issue in captions by implementing CNN-LSTM networks and attention mechanism.
Achieved BLEU-4 score of 0.1968 on the MS COCO dataset.

June 2019
[pdf]

Domain Adaptation on Different Weather Road Scene Segmentation

Incorporated a domain classifier into two-stream FCN8s to align cross-domain features.
Achieved 5-10 % mIoU improvement in the SYNTHIA dataset.

March 2019
[pdf]

Simultaneous Localization and Mapping & Texture Mapping

Built partical filter to fuse and filter data from odometry, IMU and LIDAR scans to localize household robot.
Projected RGBD information from Kinect to build 2D map using calibration parameters.

February 2019
[github]

Intelligent Fundus Image Recognition Assistant System

Built an image quality assessment model to eliminate poor training data enhancing detection accuracy.
Utilized template matching and k-means to detect optic disc and macula.
Designed a user interface that combined detection and disease classification functions.

2015-2016

Publication

Incorporating Luminance, Depth and Color Information by a Fusion-based Network for Semantic Segmentation

Shang-Wei Hung , Shao-Yuan Lo, Hsueh-Ming Hang
IEEE International Conference on Image Processing (ICIP), 2019 [pdf] [website]

Conference paper

Leadership

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2015/10-2016/07

General Coordinator of 2016 E.E.C.S. Summer Camp

Coordinated a 6-day, 120-person summer camp event; supervised preparation.

Hello! I'm Shang-Wei. Alan. 洪尚緯.