Eddie Tseng

San Jose, CA 95131 · (858) 281-9417 · eddietseng1129@gmail.com

Fast learning and capable of utilizing new technology to lead a team toward its goals. Proficient in a wide range of machine learning, web mining, data analysis, eCom analysis and testing methodologies.

Experience

Software Engineer

Multibeam
  • Implement APIs for controlling wafer stages by C++ and Python
  • Synchronized all devices for Multi-Column System (including sensors, vaccum devices, isolators, PowerPMAC, wafer-transfer system, electrical beam columns, etc.), stage control system, interferometer and all the computers related to wafer writing process to below 100ns by C++ and real-time Linux
  • Established two-way(read/write) communication control between PLC and Multi-beam Linux software for data analysis and GUI control through OPC UA by C++ and open62541
Jul 2020 - Present

Software Data Engineer

Corning Inc.
  • Improved inspection efficiency and accuracy by using VGG-19 and RF model (With large data and fine labeling, the accuracy improved 34% when compared with the based classifier)
  • Fine-tuned every model such as data preprocessing and hyper-parameter tunning
  • Compared different CNN models and finalized the best model for inspection systems in plants’ lines
  • Programmed scripts using Python for further data analysis (improving models)
Feb 2020 - Jun 2020

Research Assistant

Swartz Center of Computational Neuroscience
  • Improved accuracy from 65% to 97% for Pupil tracking system when finding Region of Interest(ROI) by implementing YOLO object detecting system using Python.
  • Programmed scripts using Python for labeling training data
  • Wrote manual scripts to teach other team members how to use the model for finding ROIs in the Pupil tracking system
Nov 2019 - Feb 2020

Software Engineer Intern

Corning Inc.
  • Improved inspection efficiency and accuracy by programming a script for operators using Halcon and C (Can detect 4 times more defect images than the original program)
  • Developed rules for classifying defect images by using image processing techniques
  • Secured Best Presentation format in the final presentation contest
  • Participated in Six Sigma training programs and learned concepts such as DMAIC and DMADV
Jul 2018 – Aug 2018

Intern

Ericsson
  • Responsible for solution support for the Connected Vessels Project of U-Ming Marine. It was a global project which provides both data and voice communication between vessels and fleet management at U-Ming HQ
Jul 2015 - Aug 2015

Education

University of California San Diego

Master of Science
Electrical and Computer Engineering - Machine Learning and Data Science Track

GPA: 3.4 / 4.0

Sep 2017 - Jun 2019

National Taipei University

Bachelor of Science
Communication Engineering

GPA: 3.5 / 4.0

Sep 2012 - Jun 2016

Skills

Programming Languages & Tools
Knowledges
  • Machine Learning
    • Data Preprocessing, Supervised/Unsupervised Learning, Deep Learning
    • TensorFlow, Keras, scikit-learn, Pytorch
  • Data Analysis
    • SQL, Pentaho, Hadoop, Pandas
  • Web Development
    • HTML, CSS, React.js, Node.js, MongoDB, RestFul API
  • Languages
    • Mandarin: Native
    • Taiwanese: Fluent
    • English: Fluent

Projects

E-commerce data analysis

University of California, San Diego
  • Developed Pantaho Kettle script to clean data and load the data on local Postgres database. Using SQL to find the most relevant features for impacting the company revenue
  • Using PySpark regression (DT, MLP, CNN) and classification (DT) to predict the review score, giving the product’s price, shipping fee, delivery time and category. MSE of re- gression is 1.2 after 150 epochs and classification accuracy is 74% after 100 iterations
Jan 2019 – Mar 2019

Clothing Fit Recommendation System

University of California, San Diego
  • Implementing Latent factor model with Hinge loss to predict the customer’s size (small, fit, large) by their previous purchase, successfully improved the accuracy from 32% to 61%
Sep 2018 - Dec 2018

Kaggle Humpback Whale Identification Challenge

University of California, San Diego
  • Implementing several classical CNN and pre-trained models, such as Siamese Network and VGG-19, to calculate the similarity and identify whale species (rank 135 of 494 and beat the benchmark in Kaggle)
Mar 2018 – Jun 2018

Urban Scene Segmentation for Autonomous vehicles

University of California, San Diego
  • Segment urban scene images in order to help autonomous vehicles identify surrounding objects. Implementing Fully Convolutional Networks(FCN) with AlexNet and VGG to classify 20 objects in images and compare the results
Mar 2018 - Jun 2018

Interests

Apart from being a programmer, I enjoy most of my time being outdoors. In the winter, I am an avid snowboarder and body builder. During the warmer months, I enjoy jogging, swimming, and kayaking.

When forced indoors, I follow a number of different kind of genre movies and television shows. I like to cook, and I spend a large amount of my dinner time exploring new dishes. Also, I like to dance a lot, I even join a dancing club when I'm in Taiwan. Last but not least, I spend most of my leisure time studying latest technology advancements in the machine learning world.

Recently, I'm interesed in learning investing and e-commerce data analysis. Maybe I will get a business analysis certificate in the future!

Extracurricular

Auto Reply

Self-Learning
  • Scripts for opening KnockTalk and finding the person you want to talk automatically.
  • Trained a ChatBot by Naive Baysian Algorithm and Search Algorithm to find the best response.

Stock Notification

Self-Learning
  • Scripts for collecting real-time stocks price from Yahoo and notifing the user through Line (messanger) when circumstances meet.

Simon Game

Online Course
  • A small project when I'm learning web development

Founder

Dancing Club (ShenAo Elementary School)
  • Founded Dancing Club for not only for remote area students but also for families
  • Arranged shows for members to show their skills after every semester
  • Raised funding for Dancing Club and remote area students’ education
Jul 2016 – Jul 2017

Team Member

Graduate Student Association
  • Organized Commencement ceremony for undergraduate students in National Taipei University
Jan 2016 – Jun 2016

Team Member

University Pop Dance Group (NTPUPDC)
  • Organized competitions for all undergraduate students in Northern Taiwan
  • Raised funding for Northern Taiwan Dance Competitions
Sep 2012 – Jun 2016

References

Abhishek Jain

Machine Learning Engineer at Corning Inc.

As a data analyst / machine learning engineer contractor at Corning Inc., Eddie Tseng did a great job working on many aspects of Data Science for various Corning projects. This includes understanding origins of data, data mining, data cleaning, training machine learning models, accuracy analysis, writing software for project receivers, and presenting data and results in a clear and concise format to management.

Gedeon O. Deak

Professor at University of California, San Diego

Eddie helped set up a deep learning network to classify regions of interest in a video dataset we are collecting in my lab. I did not have funding to pay him - he did this as a volunteer. He did an *excellent* job and we are continuing to use (and extend) the system that he set up and documented. We have found that he did an excellent job - he left a system that was organized and commented well enough for an advanced undergraduate to take over. He was also very professional and responsive - again, as an unpaid volunteer - and even months later he quickly responds to any lingering questions from us. Throughout our association I have found Eddie to be an incredibly friendly, professional collaborator. I would not hesitate to hire him if I got funding for a programmer. He is a bright, competent, collegial, hard-working person. I have no reservations whatsoever about Eddie.