Taiwan

AI/ML Engineering

Master of Science - MS

Tiffany Chen

AI Software Engineer

Statical Analysis

Time management

Organisation skills

Analytical skills

AI/ML

Python

GitHub

Cursor

Critical-thinking

Advanced data analytics

Data mining

Data visualisation

Making remote and globally distributed teams work for you and your needs.

Working remotely

Learn essential burnout prevention techniques and replenish physical and emotional energy.

Managing burnout

Navigating micro-aggression, getting paid what you are worth and finding a community.

Being a woman in tech

Tips for transitioning into a new role or company.

Changing roles

How to successfully prepare and position yourself for a job promotion?

How to get promoted

How to ask for a promotion and negotiate for salary raise?

Negotiating a job offer

How to think about design career paths and what progression looks like for designers?

Design career path

Methods of prototyping and solution validation. When to use which kind of prototype (eg. Webflow, Notion, etc)

Prototyping methods and tips

Manage team expectations and get the most out of your meetings.

Running effective meetings

Identify and define potential product problems and generating possible solutions.

Identifying problems vs solutions

How to work with team members with different skill sets but towards a common goal?

Working cross-functionally

Navigating the working relationship with PM's and engineers as a designer.

Working with product and engineering

[Model Finetuning]: Used LoRA with PyTorch and PEFT to build a boilerplate filtering model, achieving 10x performance.  Wrapped it up as a service.

[LLM Clustering]: Designed an LLM-based clustering procedure. Experimented effect stage by stage.

[AI Summary]: Developed the AI Summary feature on Quid Discover using Langchain, Langsmith, OpenAI API, and Promptfoo. Designed sampling algorithms and built backend APIs.

[Forecasting]: Implemented time series forecasting for Trend Detection by experimenting with SOTA models and pretraining DL models.

[Image Captioning]: Developed an end-to-end image captioning POC in a week, winning 1st place in the company competition.

[Experiment Design]: Applied ANOVA and pairwise comparison to optimize clustering algorithms and implement production code changes.

[Trend Detection Improvement]: Enhanced algorithms used by Coke, Hershey, and Novartis. Improved scoring, added trend tests, and created a user-facing module.

[Keyword Display Optimization]: Improved keyword quality by designing n-gram representations, filtering logic, and lemmas to avoid redundancy.

[Time Series Analysis] [Statistical Analysis]: Invented a new Trend Detection method, generating over $100K profit for Coca Cola and Novartis.

[Machine Learning] [Natural Language Processing]: Fixed flaws in the cluster naming algorithm, improving name quality and automating naming for PMs and sales. Applied POS filters and dataset-specific inputs.

[Algorithm Design]: Improved ethnicity estimation accuracy for minorities by 50%. Optimized cluster representative word generation with better recall-precision balance.

[Experiment]: Designed a 3-stage tokenizer comparison, introducing two novel methods.

[Research]: Explored entity embedding for a related word engine.

[Guidance]: Created onboarding materials on tech stack, tools, and benefits, later adopted across the company.

[AI Application Design]
• Developed and Refined the Automatic Text Summarization System for commercial use of a media company 
• Designed the Interactive User Interface using Flask, JavaScript, Html, and CSS, stored data using SQL
• Created sentence compression algorithms with different compression rates

Wroked at Intelligent Agent System Lab, held by Professor Wen Lian,Hsu, former Director of Institute of Information Science, Academia Sinica.
[Text Summarization]
• Designed an Automatic Text Summarization system beating 10+ popular systems, winning BEST Thesis Award from Taiwan Association for Web Intelligence Consortium
• Wrote an Event Extraction package for public use

[Paper Writing and Publish]
• Published an Automatic Text Categorization paper

[Text Classification]
• Refined Automatic Text Categorization method reaching 95% accuracy on 50ks Chinese news data
• Conducted experiments on tokenization, word2vec, doc2vec, and fake news detection

[AI Knowledge Translation]
• Wrote public Artificial Intelligence articles 

[AI Research]
• Surveyed academical papers related to Artificial Intelligence

[Natural Language Processing]
• Improved topic classification model's accuracy by 20%- 30% 
• Provided proposals for improving topic classification and performing statistical evaluation 
• Conducted research on topics about machine learning and data science

[Statistical Analysis]
• Evaluated different ranking-products methods from statistical perspective

[Data Visualization]
• Extracted valuable insights from digital reports and made a marketing report

[Research]
• Shared papers related to statistics on monthly meeting

[Leadership]
Earned the Distinguished Club Award
Fostered a welcoming atmosphere

[Organization Management]
Coordinated routine and demonstration meetings
Orchestrated and managed in-club competitions
Coordinated special holiday events, including Christmas and Halloween parties

[English Speaking]
Won several times of best speaker awards

Tiffany Chen🇹🇼

About Tiffany Chen

Expertise

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