# Tina Li

> Backend Engineer | LLM Agents & Automation Systems | AI Solutions | NYU

Location: Santa Clara, California, United States
Profile: https://flows.cv/tinali2

Full-stack AI Engineer with 3+ years of experience building production-grade LLM-powered agents and enterprise automation systems. I specialize in deploying AI into real-world workflows that directly support business teams such as Sales and Logistics, enabling fast data retrieval, automated validation, and real-time customer response.

In my current role, I build internal AI agents and full-stack automation systems that integrate with enterprise platforms and support strategic customers such as Tesla, delivering measurable impact in production environments. I enjoy working at the intersection of AI, backend systems, and real operational problems, and I thrive in fast-paced, high-ownership startup environments.

Tech Stack: Python, SQL, JavaScript, Flask, React, LLMs, NLP, Docker, Jenkins, PostgreSQL, AWS

## Work Experience
### Software Engineer @ Sanhua International USA
Jan 2023 – Present
Led the design and deployment of production-grade LLM-powered AI agents and enterprise automation systems to support Sales and Logistics teams, enabling fast factory data retrieval, automated PO validation, and real-time responses to strategic customers such as Tesla.

### Founder & Technical Lead @ MapBlocks
Jan 2024 – Jan 2024
Prototyped a location-based social discovery app for Gen Z newcomers, focusing on nearby user and event-based recommendations; designed the backend (Node.js / Flask), REST APIs, and real-time matching workflows; drove 80+ user interviews and rapid iterations.
Built an interactive MVP demo showcasing personalized AI-assisted interactions and geospatial recommendations, and presented the product to early-stage investors.

### Software Engineer @ The University of Hong Kong-Shenzhen Hospital
Jan 2020 – Jan 2021
Built a doctor recommendation system using collaborative filtering on treatment history and patient profiles.
Developed NLP pipeline for extracting patient concerns → improved appointment matching CTR to 73%.
Designed CV pipeline for X-ray triage; boosted efficiency 85% with 78% model accuracy.

### Data Analyst @ The Hartford
Jan 2019 – Jan 2020
Conducted A/B tests to evaluate different insurance product variants and identify optimization levers based on conversion, churn, and retention metrics across key states (e.g., Texas).
uilt predictive insurance models (XGBoost, RF, Logistic Regression), achieving 0.95 validation score.
Created Tableau dashboards to visualize product KPIs and customer segments.


## Education
### Master of Computing in Enterpreneurship and Innovation, Computer science
New York University

### Bachelor of Arts - BA in Mathematics Major, Computer Science Minor
University of Hartford


## Contact & Social
- LinkedIn: https://linkedin.com/in/yingxinli-tina

---
Source: https://flows.cv/tinali2
JSON Resume: https://flows.cv/tinali2/resume.json
Last updated: 2026-04-05