Matt Zhu

Hello!

I'm Matt Zhu, a software engineer focused on building impactful web and mobile applications that solve real-world problems.

Get in touch mz223@duke.edu

Matt Zhu
Background

I'm currently a Software Engineer at Vertice AI, a fast-growing fintech startup that delivers consumable AI to drive member growth for community financial institutions. Previously, I graduated from Duke University with an MS degree in Computer Science and Economics in 2024.

Utilizing my dual background in fintech, I have touched on every aspect of software engineering, spanning data engineering, analytics, AI/ML, database management, backend, and frontend development. Since day one, I have delivered innovative and impactful features that help scale our solution and drive business success.

Outside of work, I always love exploring new experiences — from discovering new travel destinations and trying different ice cream flavors from Ben & Jerry's, to keeping up with the latest tech trends or AI products. You'll also find me capturing stunning sunset photos or cheering for Duke basketball teams!

Skills
Languages
  • Python
  • JavaScript
  • Java
  • C/C++/C#
  • Swift
  • Dart
  • SQL
  • HTML
  • CSS
Frameworks
  • Django
  • Flask
  • Express.js
  • React.js
  • Vue.js
  • Bootstrap
  • UIKit
  • SwiftUI
Technologies
  • Node.js
  • REST APIs
  • MongoDB
  • MySQL
  • SQLite
  • PostgreSQL
  • Firebase
  • Figma
DevOps
  • Docker
  • Kubernetes
  • CI/CD
  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)
  • Microsoft Azure
Experience
Sept 2024 - Present
Software Engineer
Remote, US
TypeScript, React, Material UI, Express, Python, Postgres/SQL, AWS (ECR, ECS, RDS, etc.)
Oct – Dec 2023
Software Engineer Intern
Durham, NC
Worked with Swift, SwiftUI, and REST APIs to deliver an iOS mobile app MVP.
Software Engineer Intern
Durham, NC
Worked with Flutter, Firebase, GCP, and Figma to ship 2 cross-platform mobile app MVPs.
Other Projects

Engineered an iOS directory app in Swift, with a multi-view interface for efficient directory management, integrated robust HTTP/REST services for efficient handling of extensive JSON data and multiple CRUD operations

SwiftSWiftUIUIKit

Implemented Dijkstra’s and A* algorithms and obstacle detection algorithms in C++ to find the shortest path, utilizing data structures such as Priority Queue and HashMap in the C++ STL for optimized graph traversal.

C++Dijkstra’sA*

* Performed exploratory data analysis (EDA) and feature engineering to identify and handle imbalanced data issues, * Applied multiple balanced ML algorithms (e.g., Balanced Random Forest) to predict employee attrition rate, ensembled with Voting Classifier, * Produced a robust F1 score of 75%, ranking top 25% in Kaggle Competition

PythonPandasNumPyScikit-learnMatplotlibSeaborn