# Zirui Wang

> Fullstack Engineer - AI Platform @ AristAI | MISM@CMU Alumni | ex-Ernst & Young Data Scientist | ex-Accenture | Purdue Alumni | Seeking Full-time DS/MLE roles

Location: Sunnyvale, California, United States
Profile: https://flows.cv/zirui

Master’s graduate from Carnegie Mellon University with a strong focus on Machine Learning Systems and Generative AI. Experienced in designing, deploying, and optimizing production-grade ML models and Large Language Models to solve real-world challenges. Passionate about advancing AI efficiency, scalability, and accessibility to drive meaningful innovation.

## Work Experience
### Fullstack Engineer - AI Platform @ AristAI
Jan 2025 – Present | Urbana, IL
•  Designed and built a Django + React-based platform that leverages LLMs, MySQL and vector databases to map academic programs, learning goals, and job skills, enabling scalable, AI-driven skill alignment and career readiness insights.
•  Implemented and tested backend APIs to manage course and credential data, ensuring reliable HTTP request handling and seamless integration between frontend and database.
•  Deployed AI systems on AWS, hosting Django app on EC2 with Nginx and Gunicorn for scalable backend deployment, while leveraging S3, ECR, Lambda, Step Functions, and API endpoints to build production-ready pipelines.
•  Built ML pipelines that cut review time by 90%, supporting 10+ academic programs across 5+ institutions.

### Data Scientist @ ConocoPhillips
Jan 2024 – Jan 2024 | Pittsburgh, Pennsylvania, United States
Predictive Modeling for Well Completion Optimization 

• Conducted exploratory data analysis on oil production telemetry data from 240+ wells to understand the impact of completion parameters on BOE production.
• Designed and developed XGBoost to accurately predict crude oil production level with a MAPE (Mean Average Percentage Error) of 8%.
• Recommended best completion parameter settings, leading to improved efficiency in the hydraulic fracturing process.

### Senior Data Scientist @ EY
Jan 2021 – Jan 2023 | New York, United States
Customer Credit Evaluation System

• Developed a risk management model using XGBoost to assign customer credit ratings for credit term and limit decisions, managing $20B+ in customer value, reducing overdue repayment cases by 14%, and improving auditing efficiency by 95%.
• Fine-tuned XGBoost with Optuna for hyperparameter optimization, utilizing feature engineering, SMOTE oversampling for class balancing, and WOE (weight-of-evidence) encoding to address data quality issues and improve accuracy.
• Deployed the ML pipeline on AWS SageMaker with automated workflows, runtime configurations, and database integration.

Automated Inventory and Production Workflow Optimization System

• Engineered a Python-based Robotic Process Automation to automate manual procedures in inventory allocation and production planning for a glass manufacturing company, reducing annual delayed shipment by 30%, and increasing process efficiency by 95%.
• Developed APIs to integrate the RPA script with the client's internal platform, enabling event-driven execution of cloud-based workflows and real-time display of model results on the front-end interface.

### Data Scientist @ EY
Jan 2020 – Jan 2021 | New York, United States
- Developed Machine Learning models for classfication (Logistic Regression; Random Forest) and clustering (K-means; Isolation Forest; KNN) that geared the digital transformation for multiple clients
- Implemented the ETL procedures to clean & preprocess 10B+ data in Hive, PostgreSQL, MySQL database
- Established Robotic Process Automation (RPA) to substitute manual procedures, resulting in huge reduction in processing time and effective increase in accuracy
- Participated actively and extensively in meetings with clients to present data analysis findings and model results

### Data Scientist Intern @ Accenture
Jan 2019 – Jan 2019
A/B Testing for Ads platform optimization & Business Analytics

### Data Scientist Intern @ Family Tree
Jan 2018 – Jan 2018 | Houston, Texas, United States
Data Visualization & A/B testing for business strategies

### Research Assistant @ Polaris Pharmaceuticals Inc.
Jan 2017 – Jan 2017 | San Diego, California, United States
ADI-PEG research & development; Experiment data analylsis


## Education
### Master's degree in Information System Management - BIDA
Carnegie Mellon University

### Bachelor of Science - BS in Biology/Biological Sciences, General
Purdue University

### High School Diploma
Beijing National Day School


## Contact & Social
- LinkedIn: https://linkedin.com/in/zirui-wang-845687280
- Website: https://github.com/R1yanW1ang

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Source: https://flows.cv/zirui
JSON Resume: https://flows.cv/zirui/resume.json
Last updated: 2026-04-05