About
Hello there, I am Ya Ting Pai, people usually call me Avery.
I’m currently applying to Computer Science programs to solidify my knowledge in information retrieval.
Machine Learning Engineer & Critical Thinker
My academic background spans Computer Science, Statistics, and Finance, empowering me to tackle problems with a multifaceted perspective.
This breadth of knowledge positions me to actively contribute to class discussions, particularly in addressing complex issues.
My professional journey has further augmented these skills, with two years of experience in Machine Learning, focusing on enhancing search functionalities using language models.
The practical skills I've gained in software engineering, complemented by my master's degree in Statistics from National Yang Ming Chiao Tung University (NYCU), have deepened my understanding of both theoretical and applied aspects in computer science.
My career has underscored the value of knowledge in computer systems and social computing, key to developing efficient and robust search systems.
- Avery
Resume
Keywords: Python, Elasticsearch, Google Cloud Platform, Git, Docker, Bash, Linux
Professional Experience
Senior Machine Learning Engineer
2023 - Present
iKala, Taipei, Taiwan
- Furnished a comprehensive Ads detection model as a package, supporting 6 languages and reaching 4,000+ users in the Chrome extension 'Influencer Analytics by KOL Radar'
- Trained retrieval models to outperform BM25 by approximately 5% on NDCG@100
- Improved system latency by 64% by decreasing the encoder dimension
- Conducted surveys on fifteen research papers as part of a search engine proposal, contributing to the redesign of the Elasticsearch schema in collaboration with the backend team for the development of upcoming components
- Delivered two presentations for a recommendation system project, outlining the development, features, and benefits to 197 stakeholders
Machine Learning Engineer
2021 - 2023
iKala, Taipei, Taiwan
- Championed the development of a multilingual recommendation system from inception, utilizing Python and object-oriented programming principles, while also crafting a user-friendly Streamlit interface. Highlighted as a pivotal achievement in an external stakeholder meeting
- Engineered and deployed two search functions utilizing Elasticsearch's semantic and vector search features: one for similar KOLs and another for related posts
- Conducted twelve experiments on locality-sensitive hashing, DBSCAN, Birch, and K-Means for extracting features from KOL’s posts
- Streamlined five model pipelines by extracting social media posts from Google BigQuery and seamlessly transferring models to Google Cloud Storage
- Mentored two interns in labeling 10,000+ text training data in Japanese and Chinese
Academic Experience
Teaching Assistant
2021
NYCU, Hsinchu, Taiwan
- Collaborated with the course instructors to develop and modify course content and materials to enhance student engagement and understanding
- Graded assignments and exams, providing timely feedback to 35 students.
Research Assistant
2019 - 2020
Academia sinica, Taipei, Taiwan
- Revamped and reexamined clustering algorithm in Python, which outperformed Spectral clustering algorithm by 3% on the Karate club network dataset
Education
Master in Statistics
2020 - 2021
NYCU, Hsinchu, Taiwan
- GPA: 4.0/4.0
- Thesis topic: A Deep Learning Method of Genetic Testing for Lung Cancer
Bachelor in Business Administration
2014 - 2019
National Tsing Hua University, Hsinchu, Taiwan
- GPA: 3.65/4.0
- Major: Computer Science and Finance
Exchange Student
2018
Shanghai Jiao Tong University, Shanghai, China
Related courses
Computer Science related
48 credits
- Text mining
- Machine Learning
- Deep Learning
- Introduction to Programming (I)
- Introduction to Programming (II)
- Discrete Mathematics
- Digital Logic Design
- Operating Systems
- Computer Architecture
- Design and Analysis of Algorithms
- Linear Algebra
- Data Structures
- Introduction to Computer Networks
- Hardware Design and Lab
- Algorithms
Math/Statistics related
40 credits
- Causal inference
- Multivariate Analysis
- Statistical Computing
- Time Series
- Intro to Data Science
- Mathematical Statistics
- Engineering Mathematics
- Mathematical Statistics (I)(II)
- Business Analytics Using Computational Statistics
- Calculus (I)(II)
- Statistics (I)
Facts
With these experiences, I am keen to expand my expertise in retrieval algorithms and systems.
I am confident in my preparedness for the advanced courses offered in your program.
Credits of CS courses
Years of Work experience
Credits of Math/Stat courses
Years of research experience