1. 1
  2. 2
About Me

Who Am I?

Hi I'm Tony Tseng. A graduate student in the NTU CSIE department, specializing in Machine Learning and Deep Learning. On top of that, had also been experienced in developing tools on the cloud service such as AWS and GCP with the integration of CI flow.

Deep Learning

Computer Vision

Software Development

Backend


Keep something for a rainy day.

Hire me
What I do?

Here are some of my expertise

Deep Learning

Experienced and qualified in serveral deep learning competitions.

Edge Computing

Deploy and inference model on edge devices such as mobile phones, developer tool kits.

Software Development

Able to write a flexible and clean code by solid programming skills.

Computational Photography

Implemented both traditional and advanced algorithms in this field.

8 Projects
4 Coding Experience
My Specialty

My Skills

Basically, as a student with a computer science degree, I would rate my algorithms and Data Structure knowledge as a solid level. Besides, I usually code in Python and C++, and my coding skills will be between intermediate to proficient level.

I'm a cooperative person, and I'm eager to share ideas and get feedbacks from my parteners. I've developed a website with a team, which boost my skills in back-end and Git usage. The following chart will show how I rate my skills.

English

Intermediate

Algorithm & Data Structure

Proficient

Python

Proficient

C++

Intermediate

Pytorch

Proficient

Git

Intermediate

Front-end

Beginner

Back-end

Intermediate
Education

Education

Thesis: Burst Super-Resolution in Raw Domain Without Explicit Motion Estimation

Advisor: Yung-Yu Chuang

Overall GPA: 4.15/4.3

Academic Excellence Award: Fall 2017, Spring 2017, Spring 2018

The Zhu Shun Yi He Qin (朱順一合勤) Scholarship, NTHU

Overall GPA: 4.21/4.3

Experience

Work Experience

Intern at Asus Inc. Jul. 2022 - June. 2023

  • Establish a flexible dataset storage system for CV tasks with 30% query speed acceleration.
  • Build a visualization tool that is able to visulize layer results.
  • Combine the alignment methods with anomaly detection in the industrial task.

Intern at MediaTek Inc. Jul. 2020 - Aug. 2020

  • Build and maintain a website platform to visualize the desired chart.
  • Achieve 84% of accuracy on Wafer defect classification task.

Backend Engineer at TeraThinker 2019

  • Deploy and integrate backend GitHub code to the AWS Lambda service (CI).
  • Manage, query, and interact with the Aurora database.

Get in Touch

Contact