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Portrait of Yuni Wu

Yuni Wu

Exploring data to unlock delightful, real-world AI.

Introduction

I’m a Machine Learning Engineer and Data Scientist passionate about building intelligent, human-centered systems that connect research with real-world impact.

I created EmotionFlow — a multimodal AI platform using LLMs, emotion recognition, and reinforcement learning for empathetic dialogue and real-time music recommendations.

Internship: developed a fine-grained nail disease classifier using ResNet18 and MobileNetV2, applied Grad-CAM interpretability, and improved minority-class F1 by 30%.

At Shopee, automated large-scale data pipelines and analytics workflows, improving evaluation efficiency by 80% and driving 25% higher engagement through data-driven insights.

I’m seeking opportunities to apply machine learning, data mining, and cloud deployment to build scalable, trustworthy AI systems — on GCP and beyond.

Skills

Programming

Python, R, SQL, Go

HTML, CSS, JavaScript, SAS

Machine Learning & AI

PyTorch, TensorFlow, Hugging Face

LangChain, LangGraph, Scikit-learn

Data Tools & Platforms

GCP, Azure, Docker, Flask

Tableau, Excel, Git, Jupyter

Specializations

Statistical Modeling, Predictive Analytics

Feature Engineering, Data Visualization

Work Experience

Machine Learning Engineer Intern

MyEdMaster

2025

  • Implemented ResNet-18 on 50K+ nail images, achieving 93% accuracy across 22 fine-grained categories.
  • Raised minority-class F1 by 30% via hierarchical classification and data rebalancing.
  • Deployed FastAPI + JS on GCP Cloud Run, delivering <1s latency for 100+ users.
NailAI Detection

Research AI Engineer Intern

Kashmir World Foundation

2025

  • Analyzed 108K+ bird clips with VQ-VAE tokenization to study species and environment context.
  • Built UMAP visualizations and clustering to interpret token embeddings and human-activity links.
  • Developed representation-learning and cross-analysis workflows with ecological metadata.

Course Facilitator

University of Colorado Boulder

2024 – Present

  • Supported grad courses in Statistics, ML, and Big Data Systems for 100+ students.
  • Managed Salesforce case tracking; resolved GCP, Hadoop, Spark, and Python environment issues.
  • Created tutorials and debugging guides, improving lab completion and satisfaction.

Software Engineer

Shopee

2020–2021

  • Automated 800+ Python/SQL test cases, reducing manual work by 80% and accelerating releases.
  • Built GCP + API tools for test DB access, cutting data retrieval time by 15%.
  • Delivered real-time regression dashboards, improving reporting efficiency by 85%.
  • Engineered Go-based API testing, reducing release errors by 95%.

Data Analyst Intern

Compal

2019–2020

  • Analyzed workforce allocation for 8,000+ employees using Python and Power BI, identifying inefficiencies.
  • Built optimization models in Python/Excel, improving workforce efficiency by 80% and reducing costs.

Projects

EmotionFlow — Real-Time Recommendation

2025

  • LLM-driven recommender adapting dialogue/visuals/music; 82% user satisfaction.
  • Applied RLHF + personalization, boosting acceptance rate by 57%.
  • Deployed on GCP Cloud Run for real-world testing.
EmotionFlow

NexCare — AI Healthcare Agent

2024

  • Deployed ReAct-based assistant; reduced hallucinations by 25%, improved accuracy by 30%.
  • Integrated RAG + prompt engineering; cut latency by 30% and improved engagement.
  • Fine-tuned LLM (PyTorch) for nursing Q&A, +55% accuracy.

Suicide Prediction — Socioeconomic Analysis

2024

  • Lifted accuracy from 81.6% → 97% via KNN + GridSearchCV + socioeconomic features.
  • Improved viz clarity by 80% with advanced Matplotlib on economic & mental-health trends.
Project Report

Uncovering Patterns in Fitness Data

2024

  • Clustered fitness data (scikit-learn) to improve program segmentation by 85%.
  • Built engagement predictors; projected +20% memberships via personalization.
Project Report

Online Shop Analysis

2022–2024

  • Optimized ads (Python + Tableau): −20% CPC, −40% cost per purchase.
  • A/B tests refined placements; +20% annual sales.

Leadership

President

Taiwanese Student Association (TSA) at CU Boulder

2024 – Present

  • Lead a 15-member board serving 200+ students; organized cultural & social programs.
  • Managed funding, logistics, and university coordination (CSI, SOAC); secured travel/activity grants.
  • Executed Mid-Autumn BBQ, Ski Trip, Welcome Night to strengthen community ties.
  • Redesigned bylaws, budgeting, and promo materials to improve continuity and transparency.

Awards

Jordan Job Platform (Hackathon)

2024

  • Flask platform connecting 500+ youth to jobs; ML demand prediction drove +20% engagement.
  • Interactive dashboards (API + EDA) increased registration by 10%.
Project Report